Collection Download Ebooks Best Seller Updated Daily

[booksz]

below here , this is a free ebooks search engine, the best free ebooks download library. It's the open directory for free ebooks and download links.

Updated daily for you .

[booksz]

Advancements in Cybersecurity
by Imoize, Agbotiname Lucky;Kuznetsov, Oleksandr;Lemeshko, Oleksandr;Yeremenko, Oleksandra;, Oleksandr Kuznetsov, Oleksandr Lemeshko, Oleksandra Yeremenko
English | 2025 | ISBN: 1032900997 | 530 pages | True EPUB | 12.55 MB

This book offers a comprehensive exploration of cutting-edge research and developments in the field of cybersecurity. It presents a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond. Advancements in Cybersecurity: Next-Generation Systems and Applications offers readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity through topics ranging from the application of blockchain technology in securing information systems, to the development of new cost functions for the iterative generation of cryptographic components. The book not only addresses technical aspects but also provides insights into the theoretical frameworks and practical applications that underpin the development of robust cybersecurity systems. It explores the optimization of algorithms for generating nonlinear substitutions, the application of machine learning models for security evaluation, and the implementation of deep learning techniques for detecting sophisticated cyber-attacks. Through its in-depth analysis and forward-looking perspectives, this book contributes significantly to advancing cybersecurity research and practice, paving the way for a safer digital future. This book is designed to serve as an essential resource for researchers, practitioners, policymakers, and engineers in the fields of ICT, next-generation computing and IT security, including cryptography, AI/ML/DL, cyber resilience, network security, threat modeling and risk assessment, digital forensics, secure software development, hardware security, and human-centric security.

Rapidgator
https://rg.to/file/b3cd3861f3999b7c4754a2bd14d9a5e9/kzz3a.7z.html
UploadCloud
https://www.uploadcloud.pro/zb23aevr9nyn/kzz3a.7z.html
Fileaxa
https://fileaxa.com/b3tykk427tmh/kzz3a.7z
Fikper
https://fikper.com/h69fALUDro/kzz3a.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Advances in Artificial Intelligence for Healthcare Applications
by V.S. Anoop, Suhasini Verma, Usharani Hareesh Govindarajan
English | 2025 | ISBN: 1032821876 | 306 pages | True PDF EPUB | 36.53 MB

Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain.
Features:
Discusses advanced concepts such as biomedical large language models, and natural language processing applications
Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices
Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services
Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation
Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Rapidgator
https://rg.to/file/f447c12548facfcd54722acd85341869/zn3pv.7z.html
UploadCloud
https://www.uploadcloud.pro/lncgy4lkjngg/zn3pv.7z.html
Fileaxa
https://fileaxa.com/m35aq9n71j2p/zn3pv.7z
Fikper
https://fikper.com/oC5Xg48qUm/zn3pv.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Advances in Forensic Biology and DNA Typing
by Barbaro, Anna, Mishra, Amarnath
English | 2025 | ISBN: 103272076X | 427 pages | True PDF EPUB | 54.37 MB

Advances in Forensic Biology and DNA Typing examines a broad range of forensic DNA applications and topics, based on internationally recognized best practices. As a contributed volume that includes chapters by experts from around the world, the book covers a broad range of forensic DNA applications and topics. This includes current methods for DNA extraction and typing as well as other technologies and emergent techniques in the field such as Trace and Touch DNA, Forensic DNA Phenotyping (FDP), Forensic Investigative Genetic Genealogy (FIGG), Rapid DNA Biological Fluid Identification by epigenetics, and Pharmacogenomics. The book also explores the development and usage of forensic biology for the analysis of non- human samples and the relevance of DNA databases, management systems and quality certification in forensic.
Key features:
Highlights sources of DNA (including biological fluids, hair, bones, teeth) detailing how to address the challenges of various sample types, quantities, and environmental factors
Presents best practices in investigative and collection procedures, as well as evaluative and testing methods, of biological samples
Addresses both human and non- human DNA analyses and applications for both criminal and wildlife investigations
Advances in Forensic Biology and DNA Typingis a highly illustrated guide that will serve as a useful reference for forensic laboratory professionals, investigators, and students, as well as legal professionals.

Rapidgator
https://rg.to/file/79cc4b02f378eec1fd6709997d43eef6/e7tpc.7z.html
UploadCloud
https://www.uploadcloud.pro/sibhjf6ouqsa/e7tpc.7z.html
Fileaxa
https://fileaxa.com/k9caccnan063/e7tpc.7z
Fikper
https://fikper.com/a8uURr3Ixn/e7tpc.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Advances in Partitioning Techniques: A Prospective towards Artificial Intelligence
by Guggari, Shankru, Umadevi V, Kumar Kadappa, Vijaya
English | 2025 | ISBN: 1032750014 | 135 pages | True PDF EPUB | 6.87 MB

This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores how partitioning methods can be applied to neural networks and other deep learning architectures and describes various ways to accelerate training, reduce memory consumption, and enhance overall efficiency.
Graphs are prevalent in various AI domains. This book is specifically designed for graph data structures using partitioning techniques and also explores insights into optimizing graph algorithms and analytics. With the explosion of data, efficient partitioning becomes crucial for processing large datasets. This book discusses various partitioning techniques that enable effective management and analysis of big data, enhancing speed and resource utilization. Edge computing demands resource-efficient strategies. It examines partitioning methods tailored for edge devices, enabling AI capabilities at the edge while addressing resource. This book showcases how partitioning techniques have been successfully applied across various AI domains. It demonstrates real-world scenarios where partitioning optimizes AI algorithms and systems.
By bridging the gap between theory and practical applications, this book intends to equip researchers, practitioners, and students with invaluable insights into harnessing partitioning for optimizing AI-driven systems, data processing, and problem-solving strategies. It describes the various advantages and disadvantages of partitioning techniques. This book is a vital resource, illuminating the path towards unlocking the full potential of partitioning in shaping the future of AI technologies.

Rapidgator
https://rg.to/file/76f0807920052582fd044e74220510f2/xmao5.7z.html
UploadCloud
https://www.uploadcloud.pro/7pddy2n022sq/xmao5.7z.html
Fileaxa
https://fileaxa.com/b2mljs5brrrd/xmao5.7z
Fikper
https://fikper.com/UG9Non94FZ/xmao5.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Agile Project Management for Dummies
by Layton, Mark C.;Ostermiller, Steven J.;Kynaston, Dean J.;, Steven J Ostermiller, Dean H Kynaston
English | 2025 | ISBN: 1394332092 | 496 pages | True EPUB | 6.12 MB

Put agile techniques into practice to boost your efficiency and effectiveness
Agile Project Management For Dummies introduces you to the planning and execution approaches that can help you complete projects more quickly, with higher quality and using fewer resources. For companies in any industry―not just software development―agile project management reduces waste and increases transparency, while addressing customers' ever-changing requirements. This book lays out the principles and practices of agile techniques in jargon-free language that anyone can understand. You'll learn all the important terms, tools, and concepts, so you can infuse agility into your projects right away. Create a product roadmap and prepare for product launches with ease, thanks to this Dummies guide.
Discover why agile techniques are so popular with many of the world's most successful businesses
Use agile principles to manage the scope, time, cost, team dynamics, quality, and risk of any project
Learn how Inclusion makes organizations more agile, and create an agile-friendly culture of flexibility and productivity within your team and organization
Explore how the agile world is changing with new developments like artificial intelligence
Agile Project Management For Dummies is great for project and product managers, as well as anyone in any industry who wants get up to speed on how to be more agile.

Rapidgator
https://rg.to/file/753147e07213531408d9c01cf3fbc00d/04gv5.7z.html
UploadCloud
https://www.uploadcloud.pro/a8p4vadlq0ph/04gv5.7z.html
Fileaxa
https://fileaxa.com/oi0vflgdbvka/04gv5.7z
Fikper
https://fikper.com/yB7foB5w89/04gv5.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI Applications Made Easy MEAP V02
by Andrea De Mauro
English | 2025 | ISBN: 9781633435872 | 83 pages | True PDF | 33.11 MB

A fully illustrated guide to building generative AI apps!
In AI Applications Made Easy you'll learn how to create your own AI applications from scratch using free low-code tools like Langflow and KNIME. This fully-illustrated book guides you step by step on your journey from AI user to AI maker.
In AI Applications Made Easy you'll:
Create AI applications from the ground up using low code tools
Build intelligent agents for complex reasoning tasks
Improve AI responses using Retrieval-Augmented Generation (RAG) with your own documents
Connect to external applications via APIs and Model Context Protocol (MCP)
Optimize and fine-tune AI applications
Generative AI applications can be complex to understand and create. This book strips away the low level geekery and shows you exactly how to build Q&A systems, agents, and other powerful AI applications using low code tools. Along the way, you'll gain an intuition for how generative AI works, including core components like large language models, retrieval augmented generation, model context protocol, and more.

Rapidgator
https://rg.to/file/a860822a9fb1e3b4d6db2dcf43192748/0rx9u.7z.html
UploadCloud
https://www.uploadcloud.pro/ef2uyx96xgz4/0rx9u.7z.html
Fileaxa
https://fileaxa.com/04es5xfgnsif/0rx9u.7z
Fikper
https://fikper.com/bjGkXjzhGr/0rx9u.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI Engineering in Practice MEAP V02
by Richard Davies
English | 2025 | ISBN: 9781633436305 | 126 pages | True PDF | 21.09 MB

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images!
Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly "human-like" news articles, document summaries, images, computer code, and more-if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy.
AI Engineering in Practice teaches you how to:
Design prompts that generate accurate and readable responses from LLMs
Mitigate hallucinations in LLM output
Domain-aware content generation using RAG
How AI model design affects your prompts
Evaluate, optimize, and organize your prompts
Prompt engineering is the discipline of writing instructions for AI models to generate relevant, accurate, and usable completions. AI Engineering in Practice shows you how to engineer prompts that ensure the outputs of LLMs and other generative AI models exactly match your requirements. You'll learn how to structure your objectives, take advantage of contextual details, and even pick the right model for your task.

Rapidgator
https://rg.to/file/a814a5017d177264458a48b365a3e2ca/j8579.7z.html
UploadCloud
https://www.uploadcloud.pro/rvasb4b24udd/j8579.7z.html
Fileaxa
https://fileaxa.com/o8yyf09l95yl/j8579.7z
Fikper
https://fikper.com/JFSYKfoa5W/j8579.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI for Community: Preserving Culture and Tradition
by Davar Ardalan, Iran, Banifatemi, Amir, Gonzalez, Fernando, Ingram, Myles, Moradinezhad, Reza, Williams, Lucretia
English | 2025 | ISBN: 1032846623 | 213 pages | True PDF EPUB | 20.54 MB

AI for Community begins with a simple truth: artificial intelligence is now part of the evolution of human life. The question is not whether we use it, but how we shape it. This book explores how AI can preserve cultural heritage, strengthen human agency, and deepen cultural understanding through community-driven design.
The concept of Cultural AI was first shared on the global stage at the AI for Good Summit in Geneva in 2019, where technologists and storytellers gathered to imagine a future where machines could learn from ancestral wisdom. From NVIDIA's collaboration with Te Hiku Media to protect the Māori language to UNESCO's global initiatives in cultural preservation, the book shows how Cultural AI can serve as a bridge between generations.
Authored by a multigenerational, multicultural team, it highlights grounded, human-centered projects shaped by lived experience. These include the Indigenous Knowledge Graph; Howard University's Project Elevate Black Voices, developed with Google; and Laleh AI, which preserves and extends the knowledge of the late Dr. Laleh Bakhtiar, a pioneering thinker whose work in psychology, spirituality, and translation continues to echo across time.
This book interweaves Community Voices sections between chapters, featuring interviews that explore the role and implementation of AI in new arenas. Each chapter is also supported by online resources, accessible as podcasts, videos, and articles that provide multimedia ways to deepen understanding of culturally aware AI.
AI for Community highlights how community-driven language preservation, storytelling, and design can empower cultures and protect their heritage. It is a vital resource for those seeking to create AI that respects and uplifts communities.

Rapidgator
https://rg.to/file/ba3dd14a8bf537b7e4d5c8a37054c958/5zp2q.7z.html
UploadCloud
https://www.uploadcloud.pro/7p4pnw38orhp/5zp2q.7z.html
Fileaxa
https://fileaxa.com/pevhvgaihjtg/5zp2q.7z
Fikper
https://fikper.com/wzaJokIQtW/5zp2q.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI for Everyday IT
by Chrissy LeMaire and Brandon Abshire
English | 2025 | ISBN: 163343642X | 376 pages | True/Retail EPUB | 19.64 MB

Automate and accelerate your everyday IT tasks with instant solutions!
What if you never had to write another after-incident report, piece of boilerplate code, or a performance review from scratch ever again? Use AI tools like ChatGPT, Claude, Gemini, and Copilot right, and you'll take back hours of your time-and more!AI for Everyday ITreveals how you can automate dozens of your daily IT tasks with generative AI.
InAI for Everyday ITyou'll learn how to:
Write effective prompts for common IT tasksOptimize report generation, document handling, and workplace communicationResolve IT conflicts and crisesAcquire new skills and upgrade your resumeAI for help desk, database administration and systems administrationIncorporate AI into DevOps processes and create AI-powered applicationsSimplify time-consuming people management tasks
In this hands-on guide, automation expertsChrissy LeMaireandBrandon Abshireshow you how AI tools like ChatGPT have made their lives a million times easier, and how they can do the same for you. You'll find proven strategies for using AI to improve help desk support, automate sysadmin and database tasks, aid with DevOps engineering, handle managing IT teams, and dozens more time-saving and quality-improving hacks.
Foreword by Nitya Narasimhan.
About the technology
Have you lost days sifting through logs to find a latency issue? AI can do it in seconds! Need to update your documentation? Mere moments for AI. Are you writing scripts, designing data recovery strategies, and evaluating network designs? AI can handle it all-if you know how to use it.
About the book
AI for Everyday ITshows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning-even writing professional emails when you're too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros-from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authorsChrissy LemaireandBrandon Abshire.
What's insideDocument handling and workplace communicationDatabase administration and developmentDevOps engineering and AI powered appsPeople management and career planning
About the reader
Whether you're working in operations, development, management, or security, you'll love these productivity hacks for generative AI. No previous AI experience required.
About the author
Chrissy LeMaireis a dual Microsoft MVP and GitHub Star, the creator of dbatools, and author of the Manning book Learn dbatools in a Month of Lunches.Brandon Abshirehas spent over twenty years in IT, including roles at a leading Fortune 500 semiconductor and telecommunications company and multiple top-ranked US hospital systems.
Table of Contents
Part 1
1 Artificial intelligence in IT
2 Chatbots: Tasks and tips
3 Basic intelligence
4 Prompt engineering and problem formulation
5 Prompts in action
6 Document handling
7 Emails and instant messaging in the workplace
Part 2
8 IT support and service desk
9 Systems administration
10 Database administration and development
Part 3
11 Code assistants and development tools
12 AI in DevOps engineering
13 Building AI-powered applications
Part 4
14...

Rapidgator
https://rg.to/file/2e786e6b8da5109fe13b4c99f1a46f4d/7fp6g.7z.html
UploadCloud
https://www.uploadcloud.pro/01kjaexvxlj0/7fp6g.7z.html
Fileaxa
https://fileaxa.com/o3ear1bhniw1/7fp6g.7z
Fikper
https://fikper.com/YFuaa7lF2E/7fp6g.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI/ML for Healthcare; Navigating the AI/ML Maze Responsibly, Securely, and Sustainably
by Kapila Monga
English | 2025 | ISBN: 1032594306 | 297 pages | True PDF | 6.1 MB

The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders - to ask pressing questions: How can I be better equipped to support AI adoption meaningfully? How do I ensure I ask the right questions? What cautions should I exercise as I think about AI/machine learning (ML) in my business process? This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems).
This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen data science programs. At its heart, this book features a healthcare-specific case study that bridges the gap between theoretical knowledge and practical application, illustrating all major concepts in a real-world context.
The final chapter of this book offers a forward-looking commentary on the future of healthcare AI/ML. It explores the potential of Generative AI for healthcare and advocates leveraging lessons from past AI/ML implementations to chart a meaningful path for embracing Generative AI. Additionally, this book emphasizes the importance of adopting "reciprocal altruism" to accelerate AI/ML value realization across the healthcare industry and provides practical recommendations toward the same.

Rapidgator
https://rg.to/file/8af40656d2289a612b3162108e8367dc/psjxm.7z.html
UploadCloud
https://www.uploadcloud.pro/9zipkoa304vq/psjxm.7z.html
Fileaxa
https://fileaxa.com/ascowhbt1urk/psjxm.7z
Fikper
https://fikper.com/mQ2BNyQTTx/psjxm.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI with Intention
by Tony Frontier;
English | 2025 | ISBN: 1416633626 | 159 pages | True PDF | 5.18 MB

Make sure your tech initiatives put students first with this robust guide for teachers and school leaders.
With new artificial intelligence tools sweeping into districts and schools, educators must be able to assess the tools' benefits and limitations and determine if and how they might serve students. Teaching and leadership expert Tony Frontier provides the insight and knowledge necessary to use these tools effectively and responsibly.
AI with Intention presents guiding principles and action steps that address both the issues and the opportunities that come with artificial intelligence. School leaders will learn how to cultivate a schoolwide understanding of AI, implement student-centered practices that support academic integrity, and ensure that effective teaching and learning remain the school's top priority. Teachers will learn how to efficiently and effectively use AI tools to help their students engage in the productive struggle necessary for learning. New and evolving technologies can be exciting, but as Frontier points out, how we respond to innovation is more important than the innovation itself. This book is a roadmap for all educators looking to better understand and incorporate AI in ways that support-rather than undermine-effective teaching and learning.

Rapidgator
https://rg.to/file/28a289145e4d949fa385b805e536c985/vvrtl.7z.html
UploadCloud
https://www.uploadcloud.pro/4lszpjvwlk3m/vvrtl.7z.html
Fileaxa
https://fileaxa.com/s1ahuw7snngb/vvrtl.7z
Fikper
https://fikper.com/6zqHVDeaqE/vvrtl.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AI-Enabled Threat Intelligence and Cyber Risk Assessment
by Edited by Edlira Martiri
English | 2025 | ISBN: 1032825197 | 202 pages | True PDF | 5.48 MB

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.
Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today's most pressing cybersecurity challenges.

Rapidgator
https://rg.to/file/dfdd839fbe69923c902448c50a424c9b/h3vob.7z.html
UploadCloud
https://www.uploadcloud.pro/irx90cqm2w2k/h3vob.7z.html
Fileaxa
https://fileaxa.com/vl10ejexneox/h3vob.7z
Fikper
https://fikper.com/Fy0B2lJzQJ/h3vob.7z.html

Links are Interchangeable - Single Extraction

[booksz]

AIoT for Smart Transportation: Transforming the future of mobility
by Meenu Gupta, Rakesh Kumar and Shakeel Ahmed
English | 2025 | ISBN: 1837240965 | 361 pages | True PDF | 14.95 MB

Boost productivity, save time, and make smarter decisions-no tech expertise required! Curious about artificial intelligence (AI) but unsure where to start?Practical AI for Beginnersmakes AI accessible, showing you how to integrate it seamlessly into your daily life.
Here's just a glimpse of what you'll discover inside:
Practical AI for Beginners: AI Basics - Understand key concepts and how AI powers everyday tools.AI in Everyday Life - Learn how AI enhances finance, healthcare, education, and more.Must-Have AI Tools - Explore ChatGPT, virtual assistants, and more.Productivity Hacks - Automate tasks, optimize schedules, and boost efficiency.AI Content Detection - Spot AI-generated images and deepfakes.AI Myths & Ethics - Separate fact from fiction and navigate AI responsibly.Common AI Challenges - Overcome fears, avoid over-reliance, and stay ahead in the AI revolution.Interactive Exercises - Put your knowledge into action with real-world AI tools.
This book is crafted for curious minds-not just tech professionals. It's designed to take the mystery out of AI and help you confidently apply it in ways that make sense for your life. With hands-on exercises and real-world applications, this book empowers you to use AI confidently-whether for work, home, or fun. AI isn't just for experts-it's for you!

Rapidgator
https://rg.to/file/3a6125200268384a46b380f16aac1673/va391.7z.html
UploadCloud
https://www.uploadcloud.pro/5w4vq02lp4mp/va391.7z.html
Fileaxa
https://fileaxa.com/wk6jl3utm463/va391.7z
Fikper
https://fikper.com/ImGY7KSfcP/va391.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Algorithmic Harm
by Oren Bar-Gill;Cass R. Sunstein;
English | 2025 | ISBN: 0197778194 | 201 pages | True PDF | 5.45 MB

Will algorithms help people or hurt them? What about artificial intelligence in general? If consumers know what they need to know and do not suffer from behavioral biases, algorithms and AI are likely to be helpful. Consumers will be more likely to get what they want and need. But if consumers lack information, algorithms in particular will be able to convince them to make harmful or foolish choices. And if consumers suffer from behavioral biases, such as unrealistic optimism or a focus on the short term, algorithms will be able to produce serious harms. In Algorithmic Harm: Protecting People in the Age of Artificial Intelligence, Oren Bar-Gill and Cass Sunstein consider the harms and benefits of AI and algorithms and catalog the different ways in which algorithms are being or may be used in consumer and other markets. The authors identify the market conditions under which these uses injure consumers and consider policy and regulatory responses that could reduce the risks consumers, investors, workers, and voters face now-and in the future. Democracy and self-government are at risk; there is a great deal that can be done to reduce that risk.

Rapidgator
https://rg.to/file/3b03e087a38a6ddb9a14cc2c63f39e9a/3q6wm.7z.html
UploadCloud
https://www.uploadcloud.pro/c1nvz5vk9l6n/3q6wm.7z.html
Fileaxa
https://fileaxa.com/8jbs63bewax3/3q6wm.7z
Fikper
https://fikper.com/fqyFOv9jom/3q6wm.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Applied Machine Learning for Data Science Practitioners
by Vidya Subramanian
English | 2025 | ISBN: 1394155379 | 320 pages | True EPUB | 121.82 MB

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).
Applied Machine Learning for Data Science Practitionersoffers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case.
Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results.
This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed.
Written by a recognized data science expert,Applied Machine Learning for Data Science Practitionerscovers essential topics, including:
Data Science Fundamentalsthat provide you with an overview of core concepts, laying the foundation for understanding ML.Data Preparationcovers the process of framing ML problems and preparing data and features for modeling.ML Problem Solvingintroduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection.Model Optimizationexplores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model.ML Ethicsaddresses ethical considerations, including fairness, accountability, transparency, and ethics.Model Deployment and Monitoringfocuses on production deployment, performance monitoring, and adapting to model drift.

Rapidgator
https://rg.to/file/fe2c3e046f8e650b35228b5f3ec832cd/lzdl6.7z.html
UploadCloud
https://www.uploadcloud.pro/medvaivot6xp/lzdl6.7z.html
Fileaxa
https://fileaxa.com/8kusbtrsu5ay/lzdl6.7z
Fikper
https://fikper.com/9MoCXLltH6/lzdl6.7z.html

Links are Interchangeable - Single Extraction