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[mitsumi1]

Autify Certification Program - Test Automation
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 477.67 MB | Duration: 0h 47m

Test Automation Architect: Foundational

What you'll learn
Overview of E2E testing and software testing
How to create and modify basic test scenarios using test automation tools
How to create e-mail tests and test plans using test automation tools
How to do applied software testing using test automation tools
Requirements
You will require an "Autify for Web" account to follow along with the tutorials. If you do not have an account, please take advantage of the free trial to prepare for this course.
No in-depth knowledge of programming is required as Autify is a no-code tool.
Description
Testing, and especially end to end tests, are the best way to achieve all this with a high level of confidence, and the least amount of stress for you dev team.But, writing tests is hard. The more complex your software, the more tests you gotta write.And the more tests you write, the more time you need to spend maintaining those tests.That means less time for your devs to spend writing new features, which is not what we want.To solve this problem, more and more companies are turning to no-code solutions for testing.No code testing is easier to write, and can be maintained by people outside the dev team, so the burdon of work isn't just on your engineers.Autify is a no-code end-to-end testing solution. At Autify, our mission is to "enhance peoples creativity through technology." That means we want you to spend less time worrying about your tests, and more time writing great software.In this course, you're going to be leaning the basics. We aren't going to cover everything, but you'll learn how to get up and running quickly with Autify.By the time we're finished, you'll have a better understand of general test theory, and you'll be able to use Autify to write tests that should cover the most common use cases for modern web applications.
Overview
Section 1: Introduction To Testing and Autify
Lecture 1 Welcome to Autify Certification Program!
Lecture 2 Learning Video - Introduction To Testing
Lecture 3 Learning Video - Getting Started With Autify
Lecture 4 Learning Video - Editing Scenarios
Lecture 5 Learning Video - Step Groups
Section 2: Advanced Testing with Autify
Lecture 6 Learning Video - Testing Email
Lecture 7 Learning Video - Test Plans
Lecture 8 Learning Video - Advanced Assertions
Lecture 9 Learning Video - Advanced Testing Techniques
Lecture 10 Thank you! from Autify
Anyone interested in software test automation,Anyone interested in software test automation tools,Anyone interested in Autify, a software test automation platform

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[mitsumi1]

Becoming A Sports Agent & Building Your Agency Brand
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 622.33 MB | Duration: 1h 55m

Begin Your Journey into the World of Professional Sports by Learning How to Become an Agent

What you'll learn
How to Become a Sports Agent
Finding and Sourcing Clients
Building Your Brand as an Agent and Agency
Athlete Marketing Methods Part:1
Athlete Marketing Methods Part:2
Building Relationships With Teams' Front Office

Requirements
Learners should be 18 years and older.
Learners must at least have a High School Diploma or equivalent.

Description
This is an introductory course into the world of professional sports for aspiring sports agents. It is a course that teaches aspiring agents on how to get started in entering the agency business. Learners will be able to get the step-by-step process in detail on how to begin the process of becoming a licensed and registered sports agent. Valuable information is also presented on how agents can navigate the industry while building up their network with professional sports teams. Learners will also learn the tactics and technique surrounding recruiting and sourcing out potential athlete and coach clients. Aspiring agents will also learn the importance of being able to market and promote clients to the right teams, while using effective methods to promote clients. The course further teaches aspiring agents about the importance of building a personal brand as an agent, and building the agency brand to attract clients. PR, marketing and advertising strategies are explained in detail on how they can contribute to an agent's growth and success within the business of professional sports.Further more, the course includes information on the importance of agents building relationships with professional sports teams and how they can go about making the connection. Agents are taught methods that they can use to be proactive in connecting with professional team front offices.

Overview
Section 1: Introduction

Lecture 1 Introduction to Course

Section 2: Chapter 1

Lecture 2 How to Become a Sports Agent

Section 3: Chapter 2

Lecture 3 Finding and Sourcing Clients

Section 4: Chapter 3

Lecture 4 Building Your Brand as an Agent and Agency

Section 5: Chapter 4 (Part 1)

Lecture 5 Athlete Marketing Methods Part 1

Section 6: Chapter 4 (Part 2)

Lecture 6 Athlete Marketing Methods (Part 2)

Lecture 7 Building Relationships With Teams' Front Office

Section 7: Conclusion

Lecture 8 Conclusion

People interested in entering the world of professional sports as agents.

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[mitsumi1]

Better Beats with Bad Snacks
Bad Snacks | Duration: 7 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 2,72 GB | Language: English

Sharpen your beat-making skills with Bad Snacks as she leads you further down the rabbit hole of her production process. Building on her tremendously popular 'Lofi Beatmaking' course, 'Better Beats' will zoom in for a more advanced look at a wide variety of topics. Over 5 lessons, you'll dive into drum programming and performance, finding "the pocket," melodic & harmonic composition, in-depth tips on being your own mixing & mastering engineer, and career insight for producers in the modern music industry.
Transform your productions and learn how to make better beats from the lo-fi master herself. Are you a beginner? We recommend taking Bad Snacks' previous course, "Lofi Beatmaking with Bad Snacks."

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[mitsumi1]

Better In 30: Facilitating Successful Hybrid Meetings
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 372.27 MB | Duration: 0h 33m

How to make the most of a "mixed meeting" with happy participants and great meeting outcomes

What you'll learn
Recognize what makes a hybrid meeting more complex than in-person or virtual meetings
Identify the 3 criteria of successful hybrid meetings
Understand 5 biases that can impact your meeting outcomes
Prevent and manage technology challenges
Plan the meeting to set it up for success
Facilitate an engaging hybrid environment
Ensure post-meeting alignment/accountability
Requirements
No experience needed.
Description
Welcome to Better in 30: Facilitating Successful Hybrid Meetings!In about a half hour, you will learn how to make the hardest, trickiest, and often the most frustrating kind of meetings -- hybrid meetings -- simpler, better, and more effective for the facilitator AND the participants.In theory, a hybrid meeting is the best of both worlds: in-person participants get to engage in face-to-face collaboration and connection, and online participants get to attend from anywhere, without having to make a special trip into an offer.In practice, a hybrid meeting is often the WORST of everything. In-person participants miss a lot of what the online participants want to contribute, and online participants often feel minimized or left out entirely.In this course, you'll learn how to minimize the challenges of hybrid meetings while maximizing the mindsets, behaviors, processes, and tools that will set you and your meeting up for success.If you're wondering:Why are these meetings so challenging?What do I do if the technology fails?What if the meeting gets off track?Can I really get people talking to each other?Can a hybrid meeting really leave people feeling satisfied that important work got accomplished?Then this course is for you!In this course, you will learn:What makes hybrid meetings complex?3 criteria for successful hybrid meetingss5 biases that can impact your meeting outcomesTo prevent and manage technology challengesTo plan the meeting to set it up for successHow to facilitate an engaging hybrid environmentHow to ensure post-meeting alignment/accountability(And yes -- all in about 30 minutes!) Please join me!
Overview
Section 1: Introduction
Lecture 1 Welcome and introduction
Section 2: What makes hybrid meetings complex?
Lecture 2 What makes hybrid meetings complex?
Section 3: 3 criteria for successful hybrid meetings
Lecture 3 3 criteria for successful hybrid meetings
Section 4: 5 biases that can impact your meeting outcomes
Lecture 4 5 biases that can impact your meeting outcomes
Section 5: Prevent and manage technology challenges
Lecture 5 Prevent and manage technology challenges
Section 6: Plan the meeting to set it up for success
Lecture 6 Plan the meeting to set it up for success
Section 7: Facilitate an engaging hybrid environment
Lecture 7 Facilitate an engaging hybrid meeting environment
Section 8: Ensure post-meeting alignment and accountability
Lecture 8 Ensure post-meeting alignment and accountability
Section 9: Wrap up and next steps
Lecture 9 Wrap up and next steps
Section 10: BONUS: When to have a meeting and when not to
Lecture 10 When to have a meeting and when not to
Professionals who facilitate (or participate in) hybrid meetings

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[mitsumi1]

Biology 101: Understanding The Building Blocks Of Life
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.98 GB | Duration: 7h 19m

Discovering the Fascinating World of Cellular Mechanisms and understanding Life's Molecular Foundations

What you'll learn
Identify and describe the four main types of macromolecules: proteins, carbohydrates, nucleotides, and lipids, and their roles in biological processes.
Understand the structure and function of cellular components, including the cellular membrane, cytoplasm, organelles, and cytoskeleton structures.
Compare and contrast aerobic and anaerobic cellular respiration, and explain their roles in energy production within cells.
Explain the processes of mitosis and meiosis, their main differences, and their roles in cell division and reproduction.
Describe the structure of DNA, its replication process, and the mechanisms of gene transcription and translation.
Learn about genetic mutations, their causes & consequences, DNA repair importance, and oncogenes/tumor suppressors' relationship to cancer.
Understand cellular behavior under stress, including apoptosis, and the role of cellular communication in maintaining homeostasis.
Explain the concept of stem cells and their role in cellular differentiation and tissue regeneration.
Recognize key biotechnology techniques and their applications in genetic engineering, gene therapy, and other areas of research.
Understand genetics and evolution fundamentals, including Mendelian genetics, evolution patterns, and the survival mechanisms of microorganisms and plants.
Explore the diversity and survival mechanisms of prokaryotes, fungi, and viruses, including their morphology, behavior, and classification.
Describe plant anatomy and physiology, and explain the importance of photosynthesis and its mechanisms in energy production and plant growth.
Requirements
A basic understanding of high school biology.
Description
University Biology 101: Understanding the Building Blocks of Life offers an engaging and comprehensive introduction to the fundamental principles of University Biology. This comprehensive course provides a deep dive into the fascinating world of biology, exploring the intricacies of life's molecular components and the remarkable cellular structures that make up all living organisms. Throughout this course, students will gain a solid foundation in the essential topics of biology, including:1. Exploration of macromolecules: structure and functions of proteins, carbohydrates, nucleotides, and lipids, and their vital roles in maintaining life.2. In-depth examination of cellular structures and functions: cellular membrane, cytoplasm, organelles, and cytoskeleton structures, as well as aerobic and anaerobic cellular respiration.3. Cell cycle, mitosis and meiosis, DNA structure and replication, gene transcription and translation, and mechanisms behind genetic mutations and DNA repair.4. Insights into the molecular basis of cancer, cellular behavior and communication, and stem cells and cellular differentiation.5. Introduction to essential laboratory techniques: focus on biotechnology applications and their potential to advance our understanding of life.6. Genetics and evolution: exploration of Mendelian genetics and the patterns that drive the evolution of life on Earth.7. Investigation of the diverse world of microbiology: prokaryotes, bacterial survival strategies, fungi, and viruses.8. Importance of plants and photosynthesis: examination of plant anatomy, physiology, and the mechanisms that enable these organisms to capture sunlight and convert it into energy.Biology 101 provides a solid foundation for students with an interest in pursuing a career in the life sciences, as well as those who simply want to understand the remarkable processes that drive life on our planet. Join us on this captivating journey and develop a deeper appreciation for the incredible complexity and beauty of life's building blocks.
Overview
Section 1: Lecture Section
Lecture 1 Proteins - Macromolecules
Lecture 2 Carbohydrates - Macromolecules
Lecture 3 Nucleotides - Macromolecules
Lecture 4 Lipids - Macromolecules
Lecture 5 The Cellular Membrane
Lecture 6 The Cytoplasm and Organelles
Lecture 7 Cytoskeleton Structures
Lecture 8 Aerobic Cellular Respiration
Lecture 9 Anaerobic Cellular Respiration
Lecture 10 The Cell Cycle & Different Types
Lecture 11 Mitosis & Meiosis (Description and Main Differences)
Lecture 12 DNA Structure and Replication
Lecture 13 Gene Transcription and Translation
Lecture 14 Gene Mutation and DNA Repair
Lecture 15 Cancer (Oncogenes and Tumor Suppressors)
Lecture 16 Cellular Behavior (Stress-Apoptosis) & Communications
Lecture 17 Stem Cells and Cellular Differentiation
Lecture 18 Biotechnology Technique and Applications
Lecture 19 Mendelian Genetics
Lecture 20 Evolution Patterns
Lecture 21 Prokaryotes (Bacteria and Archaea)
Lecture 22 Bacterial Survival and Behavior
Lecture 23 The Fungi Kingdom - Eukaryotes
Lecture 24 Viruses (Morphology-Behavior & Classes)
Lecture 25 Plant Anatomy and Physiology
Lecture 26 Plant Photosynthesis Mechanisms
FIRST-YEAR UNIVERSITY STUDENTS majoring or minoring in life sciences, such as biology, biochemistry, environmental science, or related fields, who require a comprehensive understanding of essential biological principles to build upon in their advanced courses.,NON-SCIENCE MAJOR STUDENTS seeking to fulfill their science requirements and broaden their knowledge of the natural world by understanding the basic concepts of biology and its applications in daily life.,HIGH SCHOOL GRADUATES with a background in basic biology, chemistry, and mathematics, who are looking to strengthen their knowledge and skills before enrolling in more specialized or advanced biology courses.,ADULT LEARNERS AND PROFESSIONALS from non-biological backgrounds interested in exploring the world of biology, either for personal enrichment or as a prerequisite for pursuing further studies or careers in life sciences.,ASPIRING RESEARCHERS, EDUCATORS, OR SCIENCE COMMUNICATORS aiming to deepen their understanding of core biological concepts, engage with current scientific debates, and convey complex information effectively to a wide range of audiences.

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[mitsumi1]

Business & Corporate Spanish - B1/C2 - Español Para Negocios
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.22 GB | Duration: 5h 18m

Learn essential Business Spanish phrases & vocabulary and speak Spanish freely in any business situation.

What you'll learn
Communicate freely in Spanish in any business situation.
Learn hundreds of up-to-date business words spread across 20 essential business topics.
Improve pronunciation and listening skills through recordings with real-life speed and intonation.
Memorize whole Spanish sentences quickly and efortlessly through language immersion.
Requirements
Intermediate level of Spanish is beneficial, but not essential.
Please note that this is an immersion-based course. It does not include grammar explanations or additional exercises typical to traditional language courses.
Description
Speak Business Spanish with confidence!- Three innovative learning modes- 20 topics covering all aspects of business communication- Only relevant, up-to-date vocabulary- The right mix of formal and informal language- High quality recordings with natural speed & intonation- Real Business Spanish phrasebook designed by experienced professionalsWe know that while working it can be difficult to find the time and energy to learn a foreign language. That is why this course was created with busy professionals in mind. It allows you to learn effectively and effortlessly, and the effects are visible after just a few days.Our method is based on language immersion. This means that you learn a language by listening, repeating and memorizing sentence structures. This is the most effective method of learning - everyone has already acquired their native language this way. Our method does not require you to learn vocabulary or cram grammar rules. You only need to listen to the recordings included in this course regularly and attentively, and after only a short time you will begin to speak the new language intuitively!What is more, this course focuses only on relevant expressions that are used in offices every day. That way, you don't waste time learning phrases you'll never have the opportunity to use in practice.We hope this course will help you achieve your professional goals, whether it's advancing your career in a multinational company, getting your dream job abroad, or impressing colleagues and clients with flawless Business Spanish.Example sentences you will learn:► As I mentioned earlier, our customers' needs are changing.Como he mencionado antes, las necesidades de nuestros clientes están cambiando.► I need to hand in the presentation before the end of the day.Tengo que entregar la presentación antes de que acabe el día.► I appreciate that you are always ready for a new challenge.Aprecio que siempre estás preparado para nuevos retos.► I'm afraid I must disagree with you on this point.Me temo que debo discrepar contigo en este punto.► I believe I am ready to take on more responsibilities.Creo que estoy preparado para asumir más responsabilidades.► I manage a team of 30 people, which can be both very challenging and rewarding.Dirijo un equipo de 30 personas, lo que puede ser muy desafiante y gratificante a la vez.► I propose to start with a root cause analysis before taking any action.Propongo empezar con un análisis de la causa principal antes de tomar cualquier medida.► 1%? I can't believe our conversion rates are this low!¿Un 1%? ¡No puedo creer que nuestras tasas de conversión sean tan bajas!► I wanted to tell you about our special promotion this month.Quería hablarle de nuestra promoción especial de este mes.► I understand your frustration and I apologise for any inconvenience caused.Entiendo su frustración y disculpa por las molestias ocasionadas.► As you can see on the graph, there is no correlation between these two factors.Como puedes ver en el gráfico, no hay correlación entre esos dos factores.Topics covered in the course:1. Meetings & Calls2. Business Presentations3. Daily Operations4. Giving Feedback5. Managing Conflict6. Job Interview7. Human Resources8. Leadership9. Strategy & Vision10. Companies & Markets11. Marketing12. Sales13. Negotiations14. Customer Service15. Reporting & Data Analysis16. Project Management17. Computers & Technology18. Product & Manufacturing19. Logistics20. Finance
Overview
Section 1: Course introduction
Lecture 1 How to learn with this course
Lecture 2 How to get the most of this course
Section 2: 1. Meetings & Calls
Lecture 3 1. Meetings & Calls - Learning Mode
Lecture 4 1. Meetings & Calls - Immersion Mode
Lecture 5 1. Meetings & Calls - Test Mode
Section 3: 2. Business Presentations
Lecture 6 2. Business Presentations - Learning Mode
Lecture 7 2. Business Presentations - Immersion Mode
Lecture 8 2. Business Presentations - Test Mode
Section 4: 3. Daily Operations
Lecture 9 3. Daily Operations - Learning Mode
Lecture 10 3. Daily Operations - Immersion Mode
Lecture 11 3. Daily Operations - Test Mode
Section 5: 4. Giving Feedback
Lecture 12 4. Giving Feedback - Learning Mode
Lecture 13 4. Giving Feedback - Immersion Mode
Lecture 14 4. Giving Feedback - Test Mode
Section 6: 5. Managing Conflict
Lecture 15 5. Managing Conflict - Learning Mode
Lecture 16 5. Managing Conflict - Immersion Mode
Lecture 17 5. Managing Conflict - Test Mode
Section 7: 6. Job Interview
Lecture 18 6. Job Interview - Learning Mode
Lecture 19 6. Job Interview - Immersion Mode
Lecture 20 6. Job Interview - Test Mode
Section 8: 7. Human Resources
Lecture 21 7. Human Resources - Learning Mode
Lecture 22 7. Human Resources - Immersion Mode
Lecture 23 7. Human Resources - Test Mode
Section 9: 8. Leadership
Lecture 24 8. Leadership - Learning Mode
Lecture 25 8. Leadership - Immersion Mode
Lecture 26 8. Leadership - Test Mode
Section 10: 9. Strategy & Vision
Lecture 27 9. Strategy & Vision - Learning Mode
Lecture 28 9. Strategy & Vision - Immersion Mode
Lecture 29 9. Strategy & Vision - Test Mode
Section 11: 10. Companies & Markets
Lecture 30 10. Companies & Markets - Learning Mode
Lecture 31 10. Companies & Markets - Immersion Mode
Lecture 32 10. Companies & Markets - Test Mode
Section 12: 11. Marketing
Lecture 33 11. Marketing - Learning Mode
Lecture 34 11. Marketing - Immersion Mode
Lecture 35 11. Marketing - Test Mode
Section 13: 12. Sales
Lecture 36 12. Sales - Learning Mode
Lecture 37 12. Sales - Immersion Mode
Lecture 38 12. Sales - Test Mode
Section 14: 13. Negotiations
Lecture 39 13. Negotiations - Learning Mode
Lecture 40 13. Negotiations - Immersion Mode
Lecture 41 13. Negotiations - Test Mode
Section 15: 14. Customer Service
Lecture 42 14. Customer Service - Learning Mode
Lecture 43 14. Customer Service - Immersion Mode
Lecture 44 14. Customer Service - Test Mode
Section 16: 15. Reporting & Data Analysis
Lecture 45 15. Reporting & Data Analysis - Learning Mode
Lecture 46 15. Reporting & Data Analysis - Immersion Mode
Lecture 47 15. Reporting & Data Analysis - Test Mode
Section 17: 16. Project Management
Lecture 48 16. Project Management - Learning Mode
Lecture 49 16. Project Management - Immersion Mode
Lecture 50 16. Project Management - Test Mode
Section 18: 17. Computers & Technology
Lecture 51 17. Computers & Technology - Learning Mode
Lecture 52 17. Computers & Technology - Immersion Mode
Lecture 53 17. Computers & Technology - Test Mode
Section 19: 18. Product & Manufacturing
Lecture 54 18. Product & Manufacturing - Learning Mode
Lecture 55 18. Product & Manufacturing - Immersion Mode
Lecture 56 18. Product & Manufacturing - Test Mode
Section 20: 19. Logistics
Lecture 57 19. Logistics - Learning Mode
Lecture 58 19. Logistics - Immersion Mode
Lecture 59 19. Logistics - Test Mode
Section 21: 20. Finance
Lecture 60 20. Finance - Learning Mode
Lecture 61 20. Finance - Immersion Mode
Lecture 62 20. Finance - Test Mode
Lecture 0 Bonus Lecture
Expats working or planning to work in Spanish-speaking companies, from start-ups to corporations.,Office workers looking to increase their confidence in speaking Spanish, or prepare to a job interview or business presentation.,Intermediate Spanish students who struggle to achieve full professional fluency.,Beginner Spanish students who are looking to immerse themselves in Spanish and speed-up the learning process.

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[mitsumi1]

Certificate In Iastm Deep Tissue Sports Massage
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 581.18 MB | Duration: 0h 37m

Learn the most effective technique for Myofascial release from the expert.

What you'll learn
Participants should be able to explain the basic concepts behind IASTM, including the tools used, the benefits of the technique, and the types of conditions.
The course enables to identify and describe the different IASTM tools available, including their edges, curvature and surfaces.
Participants should be able to explain the safety considerations that need to be taken when performing IASTM, including patient positioning, and tool selection.
Students should be able to perform more advanced IASTM techniques, such as cross-friction, myofascial release, and trigger point therapy.
Participants should be able to explain how IASTM can be integrated with other massage techniques, such as deep tissue massage, and sports massage.

Requirements
Good understanding of human anatomy and physiology to be able to understand the underlying concepts behind IASTM.

Description
IASTM (Instrument Assisted Soft Tissue Mobilization) is a manual therapy technique that involves the use of specialized tools to mobilize soft tissues, including muscles, tendons, and fascia. IASTM is commonly used by healthcare professionals, such as physical therapists, occupational therapists, chiropractors, and massage therapists, to treat a variety of musculoskeletal conditions.IASTM courses may provide an in-depth exploration of the theory, principles, and practice of this technique. Some of the topics that may be covered in a typical IASTM course include:Anatomy and Physiology: A comprehensive understanding of the anatomy and physiology of the soft tissues and related structures, including muscles, tendons, ligaments, fascia, and nerves. This section may include a review of the different types of soft tissue injuries and their mechanisms of injury.Indications and Contraindications: An overview of the indications and contraindications for IASTM, including the specific conditions and injuries that may benefit or be adversely affected by this technique. This section may also cover the precautions and safety considerations related to IASTM.Assessment and Treatment Planning: A detailed exploration of the assessment process in IASTM, including how to conduct a thorough examination of the patient's condition and develop a treatment plan based on the findings. This section may also cover the different types of IASTM tools and their applications.Techniques and Protocols: A comprehensive overview of the different IASTM techniques and protocols used to mobilize soft tissues. This section may cover the techniques for different areas of the body, including the upper and lower extremities, back, and neck.Practice and Mastery: A practical section that may provide opportunities for participants to practice IASTM techniques under the guidance of an experienced instructor. This section may include hands-on exercises, case studies, and discussions.Integration and Application: A discussion of the integration and application of IASTM into clinical practice, including the development of treatment plans and the evaluation of treatment outcomes.

Overview
Section 1: Introduction

Lecture 1 Introduction to IASTM

Lecture 2 Understanding IASTM

Lecture 3 Scanning Stroke

Lecture 4 Scanning stroke described

Lecture 5 Warm up Stroke

Lecture 6 Combing Stroke

Lecture 7 Cross friction Stroke

Lecture 8 Hyaluronic Stroke

Lecture 9 Channeling Stroke

Lecture 10 Pin and stretch method

Lecture 11 Modified cross friction Stroke

Lecture 12 Modified cross friction Stroke 2

Lecture 13 IASTM for Back Pain

Lecture 14 IASTM for Tennis elbow

Lecture 15 IASTM for Golfer elbow

Lecture 16 IASTM for Biceps Tendinitis

Lecture 17 IASTM for Hamstring Strain

Lecture 18 IASTM for Heel Pain

Lecture 19 IASTM for Pectoral strain

Licensed healthcare professionals: These may include physical therapists, occupational therapists, chiropractors, massage therapists, and athletic trainers.,Fitness professionals: open to fitness professionals such as personal trainers and strength coaches.,Students in healthcare programs: Individuals who are currently enrolled in healthcare programs such as physical therapy, occupational therapy, chiropractic, and massage therapy may also be eligible to take IASTM courses.

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[mitsumi1]

Coach Yourself: Discover Your Inner Team For Personal Growth
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.76 GB | Duration: 1h 33m

Unlocking personal growth and development through the coaching technique of the Inner Team

What you'll learn
You will get to know the concept of the Inner Team and be able to apply it to yourself.
You will develop your own individual Inner Team with its team members.
You will take away concrete exercises for everyday life for your own development and can thus regularly use your Inner Team.
You reflect on your own behavior, thoughts as well as emotions and embrace your Inner Team - for more self-confidence and personal development.
You will learn to better regulate your emotions, manage inner conflicts and improve your personal development and self-management.
Requirements
No special previous knowledge required
A basic interest in self-reflection and self-exploration may be helpful
Willingness to actively participate and engage with yourself
Description
Coach yourself: Discover your Inner Team for personal growth - Unlocking personal growth and development through the coaching technique of the Inner TeamAre you looking to unlock your full potential, overcome self-limiting beliefs, and achieve personal growth and development? Welcome to "Coach yourself: Discover your Inner Team," an online coaching course designed to empower you with the tools and techniques to harness the power of your inner team and transform your life. In today's fast-paced world, we often face challenges, doubts, and uncertainties that hold us back from reaching our true potential. Our inner team consists of various aspects of our personality, thoughts, emotions, and beliefs that influence our behaviors and decisions. Understanding and mastering our inner team can help us overcome these challenges, tap into our strengths, and create positive change in our lives.This comprehensive online course, which is based on a coaching technique that I*would usually do with my clients in a personal session, is designed to provide you with a deep understanding of your inner team and equip you with practical strategies to unlock your personal growth journey. Why Choose This Course?Comprehensive and Practical: This course provides a comprehensive understanding of the inner team concept and equips you with practical strategies, techniques, and tools to apply in your daily lifeKey Topics Covered:Understanding Your Inner Team: Gain insights into the different members of your inner team, including your inner critic, inner cheerleader, inner child, and more. Learn how they interact and impact your thoughts, emotions, and behaviors.Unleashing Your Inner Strengths: Identify and leverage your unique strengths, talents, and abilities to achieve your personal and professional goals. Discover how to align your inner team members to work together harmoniously and support your growth.Overcoming Self-Limiting Beliefs: Identify and challenge self-limiting beliefs and negative thought patterns that hold you back from realizing your full potential. Learn proven techniques to reframe and transform these beliefs into empowering ones.Cultivating Self-Awareness: Develop a deep sense of self-awareness and mindfulness to observe your thoughts, emotions, and behaviors without judgment. Learn how to manage and regulate your inner team members for optimal performance and well-being.Building Resilience and Emotional Intelligence: Learn practical strategies to enhance your emotional intelligence and build resilience in the face of challenges and setbacks. Discover how to effectively manage stress, emotions, and conflicts to maintain balance and well-being.Integrating Coaching Techniques: Learn fundamental coaching techniques and strategies to facilitate your personal growth and development. Practice coaching skills to foster self-reflection, self-discovery, and self-directed learning.Who is This Course For?Individuals seeking personal growth and development: If you are looking to overcome self-limiting beliefs, enhance self-awareness, and unlock your full potential, this course is for you. Whether you are a working professional, entrepreneur, student, or anyone seeking personal growth, this course provides you with practical strategies to empower your inner team and transform your life.Coaches and aspiring coaches: If you are a coach or aspiring coach looking to deepen your coaching skills and techniques, this course can provide you with valuable insights into the inner team concept and how to integrate coaching techniques for personal development.Anyone interested in self-improvement: If you are interested in understanding yourself better, improving your self-awareness, and building skills for personal growth, this course is for you. It's ideal for individuals who are committed to their personal development journey and eager to learn practical strategies to unlock their inner potential.
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 Introduction
Lecture 3 Who is with you on this journey?
Section 2: Background knowledge
Lecture 4 Where does the idea of the Inner Team come from?
Lecture 5 Meaning of the Inner Team
Lecture 6 Chances and risks of the Inner Team
Section 3: Identifying your Inner Team
Lecture 7 Let's go!
Lecture 8 Identifying your Inner Team
Lecture 9 Supportive Questions
Lecture 10 Reflection on your Inner Team
Section 4: Using your Inner Team
Lecture 11 Introduction
Lecture 12 Positive relationships with your Inner Team
Lecture 13 Active Listening to your Inner Team
Lecture 14 Decision making with your Inner Team
Lecture 15 Activities for your daily life
Section 5: Closure
Lecture 16 Your Inner Team
Lecture 17 Goodbye
Individuals interested in personal growth and self-reflection,Leaders, managers and employees who want to improve their leadership, team management and communication skills,Coaches and consultants who want to discover their own Inner Team and apply it with their clients,Individuals facing inner conflict, decision-making dilemmas, self-doubt, or other personal challenges,Individuals who have an interest in mindfulness, self-care, and self-reflection,Anyone who is curious about the workings of their own mind

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[mitsumi1]

College Blueprint Recipe
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 804.99 MB | Duration: 1h 45m

Strategies and Techniques for Success in College Admissions

What you'll learn
How to expand your potential areas of interest to find your right major.
How to identify colleges and universities that best fit your needs.
How to navigate financial aid through scholarships, grants and loans.
Advanced writing techniques that will make your college essays unique and compelling.
Easy to understand strategies that will enhance your college experience.
Detailed and achievable step by creating your own blueprint
Requirements
Must be open-minded to coaching techniques.
No experience needed.
Description
Not sure if going to college is right for you? Well it is, when you have the EXACT blueprint of how everything works.Learn how to create your own blueprint to college success from college admissions expert, Stephanie Dawson. If you want to understand how to gain admissions into college while having an amazing college experience then keep reading!This online training will teach you Stephanie's step-by-step technique for creating the ultimate blueprint that generates PREDICTABLE and VALUABLE results in college admissions.The course provides you with everything you need to know about college admissions and student life.You will learn:-How To Choose Colleges & Majors-How To Set Up College Applications (college essays/ personal statements, test scores, Letter Of Recommendations)-How To Navigate Financial Aid (FAFSA, scholarships, grants, etc)-On & Off Campus Housing (Dorms, Roommates, etc)-How To Join Organizations (Education)Each section of this course focuses on a specific topic, critical to developing your blueprint. The material taught in this course makes applying to college SUPER easy with various guides and helpful gems that will enhance your college admissions experience.You will be guided through the entire college admissions process and supplied with the knowledge needed to succeed.
Overview
Section 1: Introduction
Lecture 1 Get Started
Section 2: Introduction To Colleges and Universities
Lecture 2 Lesson One: Overview
Lecture 3 Lesson Two: Majors
Lecture 4 Lesson Three: Memorable Moments
Section 3: Setting Up Applications
Lecture 5 Lesson One: Structuring Your Application
Lecture 6 Lesson Two: Personal Statement
Lecture 7 Lesson Three: Additional Requirements
Lecture 8 Lesson Four: Resume Creation
Section 4: Financial Aid
Lecture 9 Lesson One: Receiving Free Money
Lecture 10 Lesson Two: Sources of Financial Aid
Lecture 11 Lesson Three: Filing FAFSA
Section 5: On Campus Housing
Lecture 12 Lesson One: Room, Rules and Roommates
Section 6: Module Four: Off-Campus Housing
Lecture 13 Lesson One: Off Campus Housing (Apartment Prep)
Section 7: Joining Organizations
Lecture 14 Lesson One: Organizations
Section 8: College Preparation
Lecture 15 Lesson One: College Preparation
Anyone who is thinking of attending college or have just started the admissions process.,Anyone who has little to no knowledge of the college admissions process,Anyone who has started the college admissions process but feel overwhelmed with the requirements needed to apply,Anyone who wants to get accepted into college with endless opportunities,Anyone who wants to be mentored by an experienced admissions consultant and current graduate student.

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[mitsumi1]

Complete Guide To Oil Painting Brushes
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 929.57 MB | Duration: 0h 43m

A guide to the selection and use of most available types of brushes and tools available for visual art

What you'll learn
Explain and show examples of several brush shapes
Explain and show examples of different bristles and textures
Show examples of basic and specialty brushes
Demonstrate and show examples of alternate tools for paint application
Learn how to make different marks with various tools and brushes

Requirements
No experience needed

Description
This is a course designed for the beginner or intermediate artist who perhaps isn't sure what brush to purchase, or what type of bristles achieve the effects they are desiring.Entering the art store, or browsing an art supply website you are confronted with a barrage of brush options and it can be bewildering to sort through all the options available in terms of brush shape, bristle type and other tool options. Do I want long or short handle? Do I want synthetic or natural bristles? Do I want a firm or soft brush? This class will show different brush shapes, demonstrate the types of marks they make, and demonstrate alternate uses and applications with each brush. This si closest one can get to 'try before you buy' and will also open up all kinds of opportunities to consider other ways of painting and paint application. This class will also address blending and softening, glazing, and more unusual brush applications. In addition, not only will this class deal with the basic brush shapes and bristles, this class will also show more exotic brush selections like dagger or sword brushes, tree and foliage brushes and comber and egberts type brushes. A pretty comprehensive overview of most brushes available.

Overview
Section 1: Introduction

Lecture 1 Introduction

Section 2: Basic Brushes

Lecture 2 The Basics

Lecture 3 Specialty Brushes Introduction

Lecture 4 Specialty Brushes Part 1

Lecture 5 Specialty Brushes Part 2

Lecture 6 Specialty Brushes Part 3

Lecture 7 Specialty Brushes Part 4

Lecture 8 Conclusion

This course is for beginner to intermediate painters in oil or acrylic who wish to know more about brushes and what to purchase at the art store

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[mitsumi1]

Create A Nice Professional Tropical House Music From Scratch
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.79 GB | Duration: 3h 15m

I will show you how to create a professional EDM Tropical House Music using only our ears and without any inspiration

What you'll learn
how to create you chords by ears
how to mix you elements
how to use EQ and Reverb
how to create a melody by ears
how to layer your melody
how to add your percussions
how to create ambience elements of your music like the atmosphere background sound and the pads
how to use compression
how to use distortion
how to sidechain your elements and what are the elements that needs sidechain
how to create a nice Pre-intro Part
how to create a nice break
how to create a good build up and drop
how to create a nice vocal chops
how to master your song

Requirements
Basic Understanding Of FL Studio
Average Headphones
Average Computer

Description
Hi there, and welcome to this course where I will show you how to create a nice, professional, electronic tropical House Music in 3hours from scratch using FL Studio.So basically, in this course you won't be in need of any music theory because the whole process of making this song is going to be using only our ears, also you don't need to be inspired because the process of making this music was without any pre-ideas of the melody the chords...So basically, throughout this course you will be discovering the real process of how to make a song using FL studio because we will keep adding instruments and elements and making choices and replacing stuff and deleting stuff until we finish this song.In this course I tried to be as minimalistic in my video editing as possible so you can fully discover this process with me.In this Course I will show you how to make each section of this course starting from the pre intro until the outro with the mastering processAnd we will slowly keep building it until we end up with a one complete song of 3minutes long.So, don't forget to give me your feedback on this Course and I hope you like it and you learned something new today

Overview
Section 1: Starting The Intro & Break

Lecture 1 How To Create Your Main Chords Progressions And Humanize Them

Lecture 2 Structuring Your Playlist And Creating,Layering and Mixing Your Pads In

Lecture 3 How To Create A Nice Atmospheric Sound And Mix It

Lecture 4 Mixing The Piano and Creating A New Intro Arrangement

Lecture 5 Creating a Hihat and Mix it to fit the Vibe Of The Song

Section 2: Designing The Pluck & Creating Other Elements

Lecture 6 Sound Designing a Pluck and Mixing It

Lecture 7 Consolidating Your Chords and Adding your First Percussions

Lecture 8 Adding Arp and Sidechaining the Elements

Lecture 9 Creating The Pre Intro Section

Section 3: Build up & Drop Creation

Lecture 10 Starting the Build Up and Creating the Melodies

Lecture 11 Adding Multiple Elements To The Build Up

Lecture 12 Adjusting The Build Up And Starting The Drop

Lecture 13 Layering the Melody and Creating The Sub Bass

Section 4: Creating The Second Part of The Song

Lecture 14 Starting the 2nd Part Of The Song

Lecture 15 Creating the 2nd Build up And Drop

Lecture 16 Creating the Outro Section

Lecture 17 Creation Of The Vocal Chops

Section 5: Mastering The Last Result

Lecture 18 Mastering and Exporting The Final Result

People who are willing to learn how to produce EDM Music,People that like Electronic Music,People that want to learn how to make melodic music

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[mitsumi1]

Cyber Security Architecture Fundamentals
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.87 GB | Duration: 3h 3m

Learn all the fundamentals and skills needed to become a security architect

What you'll learn
Understand the core concepts of security architecture
Develop and design security patterns
Work with Enterprise Architecture Frameworks
Properly run threat modelling

Requirements
Some knowledge of Cyber Security is required

Description
In this course, students will learn about the principles, concepts, and best practices of designing and implementing effective cyber security architectures. The course will cover a wide range of topics, including threat modeling, risk assessment, security design patterns, access control, cryptography, network security, cloud security, and incident response.Overview of Cyber Security ArchitectureThe course will begin with an overview of the fundamental concepts of cyber security architecture, and will then delve into the specifics of how to design and implement effective security solutions. Students will learn how to identify and assess security risks, and how to develop and apply appropriate security controls to mitigate those risks.Designing Effective Security SolutionsThroughout the course, students will also explore various security design patterns and strategies, and learn how to apply these to real-world security challenges. Additionally, students will gain hands-on experience with a range of security tools and technologies, and will develop practical skills in threat modeling, risk assessment, security testing, and incident response.Course Goals and Learning OutcomesBy the end of this course, students will have a deep understanding of the principles and best practices of cyber security architecture, and will be well-equipped to design, implement, and manage effective security solutions for a wide range of applications and environments.PrerequisitesThis course assumes a basic understanding of networking concepts and protocols, as well as some experience with programming and scripting languages. Students should also have some familiarity with common security tools and technologies, such as firewalls, intrusion detection/prevention systems, and vulnerability scanners.

Overview
Section 1: Introduction

Lecture 1 Introduction to Cyber Security

Lecture 2 The Problem with Security Today

Lecture 3 Introduction to Security Architecture

Lecture 4 Who is a Security Architect?

Lecture 5 Security Principles & Approaches

Lecture 6 Cyber Security Processes

Lecture 7 Risk Management

Lecture 8 Understanding Residual Risk

Section 2: Threat Modelling

Lecture 9 Threat Modelling - Part 1

Lecture 10 Threat Modelling vs Risk Assessment

Lecture 11 Threat Modelling - Part 2

Lecture 12 STRIDE

Lecture 13 DREAD

Lecture 14 PASTA

Lecture 15 OCTAVE

Lecture 16 TRIKE

Lecture 17 Attack Trees

Section 3: Enterprise Architecture Frameworks

Lecture 18 Section Preview

Lecture 19 TOGAF Framework

Lecture 20 Zachman Framework

Lecture 21 SABSA Framework

Section 4: Cyber Architecture for Enterprise Security

Lecture 22 Network Security

Lecture 23 Application Security

Lecture 24 Endpoint Security

Lecture 25 Identity & Access Management

Lecture 26 Data Protection

Lecture 27 Vulnerability, Patch & Availability Management

Lecture 28 Supply Chain Security

Section 5: Designing for Security

Lecture 29 Security Design Patterns

Lecture 30 Security Design Pattern Example

Lecture 31 Reference Security Architectures

Section 6: Case Study

Lecture 32 Case Study Preview

Lecture 33 Business Requirements

Lecture 34 Data Classification

Lecture 35 Threat Modelling

Lecture 36 Security Requirements

Lecture 37 Reference Architecture

Lecture 38 Identifying the Residual Risk

Section 7: Conclusion

Lecture 39 Conclusion

Cyber Security professionals who want to become security architects

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[mitsumi1]

Data Science And Machine Learning Fundamentals [Theory Only]
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 648.92 MB | Duration: 2h 12m

Theorical Course for Data Science, Machine Learning, Deep Learning to understand the logic of Data Science algorithms

What you'll learn
Machine learning isn't just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
What is Machine Learning?
Machine Learning Terminology
Evaluation Metrics
What are Classification vs Regression?
Evaluating Performance-Classification Error Metrics
Evaluating Performance-Regression Error Metrics
Supervised Learning
Cross Validation and Bias Variance Trade-Off
Linear Regression Algorithm
Logistic Regresion Algorithm
K Nearest Neighbors Algorithm
Decision Trees And Random Forest Algorithm
Support Vector Machine Algorithm
Unsupervised Learning
K Means Clustering Algorithm
Hierarchical Clustering Algorithm
Principal Component Analysis (PCA)
Recommender System Algorithm
Machine learning is one of the fastest-growing and popular computer science careers today. Constantly growing and evolving.
Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective.
Machine learning describes systems that make predictions using a model trained on real-world data.
Requirements
Basic knowledge of Python Programming Language
Be Able To Operate & Install Software On A Computer
Free software and tools used during the machine learning a-z course
Free software and tools used during the machine learning a-z course
Determination to learn machine learning and patience.
Motivation to learn the the second largest number of job postings relative program language among all others
Curiosity for machine learning python
Desire to work on python machinace learning
Desire to learn machine learning a-z, complete machine learning
Any device you can watch the course, such as a mobile phone, computer or tablet.
Watching the lecture videos completely, to the end and in order.
Nothing else! It's just you, your computer and your ambition to get started today.
LIFETIME ACCESS, course updates, new content, anytime, anywhere, on any device.
Description
Hello there,Welcome to the "Data Science and Machine Learning Fundamentals[Theory Only]" course.Theorical Course for Data Science, Machine Learning, Deep Learning to understand the logic of Data Science algorithmsMachine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning helps you stay ahead of new trends, technologies, and applications in this field.Machine learning describes systems that make predictions using a model trained on real-world data.Machine learning is being applied to virtually every field today. That includes medical diagnoses, facial recognition, weather forecasts, image processing, and more. In any situation in which pattern recognition, prediction, and analysis are critical, machine learning can be of use. Machine learning is often a disruptive technology when applied to new industries and niches. Machine learning engineers can find new ways to apply machine learning technology to optimize and automate existing processes. With the right data, you can use machine learning technology to identify extremely complex patterns and yield highly accurate predictions.It's hard to imagine our lives without machine learning. Predictive texting, email filtering, and virtual personal assistants like Amazon's Alexa and the iPhone's Siri, are all technologies that function based on machine learning algorithms and mathematical models. Python, machine learning, python programming, machine learning python, python for beginners, data science. Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning or finance, or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data science seeks to find patterns in data and use those patterns to predict future data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithms to analyze data and validate current methodsDo you know data science needs will create 11.5 million job openings by 2026?Do you know the average salary is $100.000 for data science careers!Data Science Careers Are Shaping The FutureData science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. So data science careers are in high demand.If you want to learn one of the employer's most request skills?If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?If you are an experienced developer and looking for a landing in Data Science!In all cases, you are at the right place!We've designed for you "Machine Learning & Data Science with Python & Kaggle | A-Z" a straightforward course for Python Programming Language and Machine Learning.In the course, you will enter the world of Data science and machine learning with theory. Only by learning the theories will you grasp the logic of algorithms. You will understand why you do what you do and say hello to the magical world of data scienceThroughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms.This Machine Learning course is for everyone!If you don't have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).What is machine learning?Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information around whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. In this particular example, we might use a neural network to learn these patterns, but machine learning can be much simpler than that. Even fitting a line to a set of observed data points, and using that line to make new predictions, counts as a machine learning model.Why we use a Python programming language in Machine learning?Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, it supports a lot of today's technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.What is machine learning used for?Machine learning a-z is being applied to virtually every field today. That includes medical diagnoses, facial recognition, weather forecasts, image processing, and more. In any situation in which pattern recognition, prediction, and analysis are critical, machine learning can be of use. Machine learning is often a disruptive technology when applied to new industries and niches. Machine learning engineers can find new ways to apply machine learning technology to optimize and automate existing processes. With the right data, you can use machine learning technology to identify extremely complex patterns and yield highly accurate predictions.Does Machine learning require coding?It's possible to use machine learning data science without coding, but building new systems generally requires code. For example, Amazon's Rekognition service allows you to upload an image via a web browser, which then identifies objects in the image. This uses a pre-trained model, with no coding required. However, developing machine learning systems involves writing some Python code to train, tune, and deploy your models. It's hard to avoid writing code to pre-process the data feeding into your model. Most of the work done by a machine learning practitioner involves cleaning the data used to train the machine. They also perform "feature engineering" to find what data to use and how to prepare it for use in a machine learning model. Tools like AutoML and SageMaker automate the tuning of models. Often only a few lines of code can train a model and make predictions from itWhat is the best language for machine learning?Python is the most used language in machine learning using python. Engineers writing machine learning systems often use Jupyter Notebooks and Python together. Jupyter Notebooks is a web application that allows experimentation by creating and sharing documents that contain live code, equations, and more. Machine learning involves trial and error to see which hyperparameters and feature engineering choices work best. It's useful to have a development environment such as Python so that you don't need to compile and package code before running it each time. Python is not the only language choice for machine learning. Tensorflow is a popular framework for developing neural networks and offers a C++ API. There is a complete machine learning framework for C# called ML. NET. Scala or Java are sometimes used with Apache Spark to build machine learning systems that ingest massive data sets.What are the different types of machine learning?Machine learning is generally divided between supervised machine learning and unsupervised machine learning. In supervised machine learning, we train machine learning models on labeled data. For example, an algorithm meant to detect spam might ingest thousands of email addresses labeled 'spam' or 'not spam.' That trained model could then identify new spam emails even from data it's never seen. In unsupervised learning, a machine learning model looks for patterns in unstructured data. One type of unsupervised learning is clustering. In this example, a model could identify similar movies by studying their scripts or cast, then group the movies together into genres. This unsupervised model was not trained to know which genre a movie belongs to. Rather, it learned the genres by studying the attributes of the movies themselves. There are many techniques available within.Is Machine learning a good career?Machine learning python is one of the fastest-growing and popular computer science careers today. Constantly growing and evolving, you can apply machine learning to a variety of industries, from shipping and fulfillment to medical sciences. Machine learning engineers work to create artificial intelligence that can better identify patterns and solve problems. The machine learning discipline frequently deals with cutting-edge, disruptive technologies. However, because it has become a popular career choice, it can also be competitive. Aspiring machine learning engineers can differentiate themselves from the competition through certifications, boot camps, code repository submissions, and hands-on experience.What is the difference between machine learning and artifical intelligence?Machine learning is a smaller subset of the broader spectrum of artificial intelligence. While artificial intelligence describes any "intelligent machine" that can derive information and make decisions, machine learning describes a method by which it can do so. Through machine learning, applications can derive knowledge without the user explicitly giving out the information. This is one of the first and early steps toward "true artificial intelligence" and is extremely useful for numerous practical applications. In machine learning applications, an AI is fed sets of information. It learns from these sets of information about what to expect and what to predict. But it still has limitations. A machine learning engineer must ensure that the AI is fed the right information and can use its logic to analyze that information correctly.What skills should a machine learning engineer know?A python machine learning engineer will need to be an extremely competent programmer with in-depth knowledge of computer science, mathematics, data science, and artificial intelligence theory. Machine learning engineers must be able to dig deep into complex applications and their programming. As with other disciplines, there are entry-level machine learning engineers and machine learning engineers with high-level expertise. Python and R are two of the most popular languages within the machine learning field.What is data science?We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data science seeks to find patterns in data and use those patterns to predict future data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithms to analyze data and validate current methods.Why would you want to take this course?Our answer is simple: The quality of teaching.OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.*Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadWe offer full support, answering any questions.If you are ready to learn Dive in now into the "Data Science and Machine Learning Fundamentals[Theory Only]" course.Theorical Course for Data Science, Machine Learning, Deep Learning to understand the logic of Data Science algorithmsSee you in the course!
Overview
Section 1: Introduction to Machine Learning?
Lecture 1 What is Machine Learning?
Lecture 2 What are Machine Learning Terminologies?
Section 2: Evaluation Metrics in Machine Learning
Lecture 3 Classification vs Regression in Machine Learning
Lecture 4 Evaluating Performance: Classification Error Metrics
Lecture 5 Evaluating Performance: Regression Error Metrics
Section 3: Supervised Learning with Machine Learning
Lecture 6 What is Supervised Learning in Machine Learning?
Section 4: Supervised Learning Algorithms
Lecture 7 Linear Regression Algorithm Theory
Lecture 8 What is Bias Variance Trade-Off?
Lecture 9 Logistic Regression Algorithm Theory
Lecture 10 K-Fold Cross-Validation Theory
Lecture 11 Hyperparameter Optimization Theory
Lecture 12 K Nearest Neighbors Algorithm Theory
Lecture 13 Decision Tree Algorithm Theory
Lecture 14 Random Forest Algorithm Theory
Lecture 15 Support Vector Machine Algorithm Theory
Section 5: Unsupervised Learning with Machine Learning
Lecture 16 What is unsupervised Learning in Machine Learning?
Section 6: Unsupervised Learning Algorithms
Lecture 17 K Means Clustering Algorithm Theory
Lecture 18 Hierarchical Clustering Algorithm Theory
Lecture 19 Principal Component Analysis (PCA) Theory
Lecture 20 What is the Recommender System? Part 1
Lecture 21 What is the Recommender System? Part 2
Section 7: Extra
Lecture 22 Data Science and Machine Learning Fundamentals[Theory Only]
Machine learning isn't just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone,Anyone who wants to start learning "Machine Learning",Anyone who needs a complete guide on how to start and continue their career with machine learning,Students Interested in Beginning Data Science Applications in Python Environment,People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing,Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python,Anyone eager to learn python for data science and machine learning bootcamp with no coding background,Anyone who plans a career in data scientist,,Software developer whom want to learn python,,People who want to become data scientist,People who want to learn machine learning a-z and data science

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[mitsumi1]

Data science for finance
Last updated 03/2023
Duration: 52m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 389 MB
Genre: eLearning | Language: English[Auto]

Learn to trade in stock market using machine learning and reinforcement learning techniques

What you'll learn
Use a variety of data preparation methods with financial data
Predict future prices using advance deep learning and reinforcement learning techniques
Get hands-on financial forecasting experience using machine learning with Python, Keras, Scikit-Learn and pandas
Predict future values based on single and multiple values
Understand the process behind choosing the best performing data preparation method and model
Grasp Machine Learning forecasting on a specific real-world financial data
Apply various AI techniques for prediction
Learn how to fetch stock data from api
Requirements
Basic python syntax
Description
You will learn about how to work with stock data using AI techniques like deep learning,machine learning and reinforcement learning.
While humans remain a big part of the trading equation, AI plays an increasingly significant role. According to a recent study electronic trades account for almost 45 percent of revenues in cash equities trading. And while hedge funds are more reluctant when it comes to automation, many of them use AI-powered analysis to get investment ideas and build portfolios.
AI is shaping the future of stock trading. Using AI, companies analyze millions of data points and execute trades at the optimal price, analysts forecast markets with greater accuracy and trading firms efficiently mitigate risk to provide for higher returns.
A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting.
In this course, you'll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you'll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you'll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you'll learn how to find and test a few key modern machine learning models to pick up the best performing one.
After finishing this course, you'll have a solid introduction to apply ML methods to financial data forecasting.
Who this course is for
People who are interested to use AI in finance

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[mitsumi1]

Deep House Workflow with Fred Everything
Fred Everything | Duration: 8:58 h | Video: H264 1912x1078 | Audio: AAC 44,1 kHz 2ch | 4,11 GB | Language: English

Find your flow with Fred Everything, one of the true masters of Deep House, as he takes you through his hybrid workflow that integrates hardware synths, drum machines, and sequencers with software. Over 5 days, you'll discover the tools and techniques that earned him the title of Traxsource's #1 Deep House Producer in 2016. This course will cover topics such as songwriting, sound design, mixing, arrangement and more. This is your chance to learn from a real house legend in a live, interactive environment.

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