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IGI EPUB Test Book 85x11
by IGI Global
English | 2025 | ISBN: 9798369381878 | 574 pages | True PDF EPUB | 34.15 MB

The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.

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Punit Gupta, "Machine Learning and Optimization Models for Optimization in Cloud "
English | ISBN: 1032028203 | 2022 | 218 pages | AZW3 | 14 MB
Machine Learning and Models for Optimization in Cloud's main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.

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Machine Learning Applications in Renewable Energy
English | 2025 | ISBN: 9819799384 | 267 Pages | EPUB (True) | 55 MB
This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economic situation of a country by way of providing employment opportunities for many people may be as employees in various roles or initiating their own enterprise. The book includes statistics on energy consumption changes over the past few decades from conventional to renewable energies. The future scenario of energy in view of technological advancements and the employment status past, present and future is indicated. The need and importance of standards for the efficient operation of renewable energy systems are explained. The various modern technologies that are enabling the successful implementation of RET are presented. The role of the public and government and the various financial schemes governments provide is highlighted. A few modern applications and those under development would enhance the standard of living. The statistics and situation of the various aspects in the wake of the COVID-19 pandemic before, during and future effects are discussed, for the overall benefit of one and all. The various methods of a cost analysis of a project are indicated. Solar system components and the cost estimation of the solar power system in the present-day market status are provided. The various grid integration issues have been discussed.

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Machine Learning Applications in Renewable Energy (Green Energy and Technology) by Namrata Manohar, Mousmi Ajay Chaurasia, Stefan Mozar
English | February 27, 2025 | ISBN: 9819799384 | 255 pages | PDF | 14 Mb
This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economic situation of a country by way of providing employment opportunities for many people may be as employees in various roles or initiating their own enterprise. The book includes statistics on energy consumption changes over the past few decades from conventional to renewable energies. The future scenario of energy in view of technological advancements and the employment status past, present and future is indicated. The need and importance of standards for the efficient operation of renewable energy systems are explained. The various modern technologies that are enabling the successful implementation of RET are presented. The role of the public and government and the various financial schemes governments provide is highlighted. A few modern applications and those under development would enhance the standard of living. The statistics and situation of the various aspects in the wake of the COVID-19 pandemic before, during and future effects are discussed, for the overall benefit of one and all. The various methods of a cost analysis of a project are indicated. Solar system components and the cost estimation of the solar power system in the present-day market status are provided. The various grid integration issues have been discussed.

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Machine Learning for PyTorch: A Hands-On Guide to Building Scalable and Flexible AI Models with Ease
English | 2025 | ASIN : B0DYBBVTQV | 252 Pages | EPUB | 0.3 MB
This comprehensive resource takes you through every stage of deep learning with PyTorch, covering everything from basic tensor operations to advanced topics such as generative models, reinforcement learning, and distributed training. With detailed explanations, practical code examples, and real-world applications, you'll gain a deep understanding of PyTorch's capabilities and how to apply them to cutting-edge AI projects.

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Concepts, Models, and Applications
by Sahay, Dr Amar; Sahay, Dr Rajeev
English | 2025 | ISBN: 1637427484 | 264 pages | True EPUB | 9.7 MB

Machine Learning Fundamentalsprovides a comprehensive overview of data science, emphasizing machine learning (ML).This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.
Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time.
This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas.

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Machine Learning und KI kompakt: Zentrale Konzepte verstehen und anwenden
Deutsch | 2025 | ISBN: 3988890316 | 504 Pages | EPUB | 7 MB
Sie verfügen bereits über Grundkenntnisse zu maschinellem Lernen und künstlicher Intelligenz, haben aber viele Fragen und wollen tiefer in wesentliche und aktuelle Konzepte eintauchen? ML- und KI-Experte Sebastian Raschka greift in diesem Buch die wichtigsten Schlüsselfragen auf und liefert sowohl prägnante als auch einfach verständliche Erklärungen zu komplexen und fortgeschrittenen Themen wie Deep Learning, Überanpassung, Self-Supervised Learning, generative KI, Computer Vision, Natural Language Processing und Modellevaluierung.

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Machine Learning with Python: A Comprehensive Guide by Dargslan Publishing
English | December 19, 2024 | ISBN: N/A | ASIN: B0D98JY42P | 397 pages | EPUB | 0.52 Mb
"Machine Learning with Python: A Comprehensive Guide" is your gateway to mastering the exciting world of Machine Learning (ML) using Python. This book is meticulously crafted to cater to beginners, professionals, and students alike, offering a step-by-step approach to understanding and implementing ML concepts.

Key Features:Accessible explanations of complex ML conceptsHands-on examples and practical applicationsComprehensive coverage from basics to advanced topicsReal-world projects to build your portfolioFocus on Python, the leading language for MLIn this comprehensive guide, you'll journey through eight carefully structured sections:Introduction to Machine Learning Dive into the fundamentals of ML, understand its significance in today's world, and set up your Python environment for seamless learning.Data Preparation and Preprocessing Master the crucial skills of data cleaning, transformation, and feature engineering - the backbone of any successful ML project.Supervised Learning Explore predictive modeling techniques including regression and classification. Learn to build models that can forecast outcomes and categorize data with precision.Unsupervised Learning Discover patterns and structures in data using clustering and dimensionality reduction techniques, opening up new insights in your datasets.Advanced Topics Venture into cutting-edge areas like deep learning, natural language processing, and time series analysis, equipping you with skills at the forefront of ML innovation.Model Optimization and EvaluationPractical ProjectsAppendixWhy This Book Stands Out:Bridges the gap between theory and practice with intuitive explanations and code examplesFocuses on real-world applications, preparing you for actual ML challenges in various industriesProvides a smooth learning curve, gradually building from foundational concepts to advanced techniquesEmphasizes hands-on learning with exercises and projects throughout the bookCovers the entire ML pipeline from data preprocessing to model deploymentWho Should Read This Book:Aspiring data scientists and ML engineers looking to start their journeySoftware developers aiming to add ML skills to their toolkitStudents and educators seeking a comprehensive ML resourceProfessionals considering a career transition into data science or AIAnyone curious about ML and its applications in today's worldWhat You'll Learn:Essential Python libraries for ML (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)Data visualization techniques to gain insights from your datasetsHow to build, train, and evaluate various ML modelsTechniques for improving model performance and avoiding common pitfallsBest practices for deploying ML models in production environmentsEthical considerations in ML and AIBy the end of this book, you'll have:A solid understanding of ML concepts and their practical applicationsThe ability to implement ML solutions using PythonExperience with real-world ML projectsA portfolio of work to showcase your new skillsThe confidence to tackle complex ML challenges in various domains"Machine Learning with Python: A Comprehensive Guide" is more than just a book - it's your companion in the journey to becoming a proficient ML practitioner. Whether you're looking to enhance your career prospects, solve complex problems, or simply satisfy your curiosity about AI and ML, this book provides the knowledge and skills you need to succeed.
Start your ML journey today and unlock the power of intelligent algorithms with Python!

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Roland O. Meyer, John E. Neely, Warren T. White, "Machine Tool Practices (9th Edition)"
English | 2009 | pages: 819 | ISBN: 0135015081, 013501512X | PDF | 108,8 mb
This classic book features a richly illustrated, intensely visual treatment of basic machine tool technology and related subjects, including measurement and tools, reading drawings, mechanical hardware, hand tools, metallurgy, and the essentials of CNC. Covering introductory through advanced topics, Machine Tool Practices is formatted so that it may be used in a traditional lab-lecture program or a self-paced program. The book is divided into major sections that contain many instructional units. Each unit contains listed objectives, self tests with answers, and boxed material covering shop tips, safety, and new technologies. In this updated edition there are over 600 new photos and 1,500 revised line drawings!

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Machines A Visual History: 100 Machines and the Remarkable Stories Behind Each Invention by Dominic Chinea
English | November 12, 2024 | ISBN: 0744089603 | 240 pages | MOBI | 82 Mb
The Repair Shop's Dominic Chinea takes you on an exploration of 100 essential machines found in the workshops and studios of the world's finest artisans and heritage craftspeople.

Filled with stunning illustrations and lively, engaging text, The Repair Shop's Dom Chinea guides readers through this celebration of the history and uses of 100 machines that have allowed artisans to create beautiful items for centuries.
Fans of prime-time TV shows The Repair Shop and Make It at Market will not want to miss Dom's insightful and complete appraisal of history's most game-changing mechanisms, with commentary that allows readers to get under the hood of inventions that have defined modern life as we know it.
Immerse yourself in the visual history of the world's most remarkable machines:The sequel to 2022's Tools: A Visual History.Explores inventions from the potter's wheel and grain mill to the sewing machine, printing press, wheel maker, and many more.Each machine is creatively profiled and deconstructed in pinpoint detail, with Dom Chinea's trademark insight and commentary.Striking illustrations by award-winning artist Lee John Philips highlight the beauty of each tool.A beautiful gift book with a vintage design.Each machine has a fascinating history and story that highlights its contribution to artisanal crafts. And with every machine accompanied by beautifully ornate illustrations by Lee John Philips, Machines: A Visual History is sure to be a treasured volume for all creators, craftspeople, and those who like to delve into how things work.

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Macrophages: Molecular Pathways and Immunometabolic Processes
by Soraya Mezouar, Jean-Louis Mege
English | 2024 | ISBN: 0854669329 | 195 Pages | True PDF | 2.7 MB

This book is a collection of chapters that deal with the function of macrophages and their role in various pathologies such as cancer, inflammatory, and infectious diseases. With a focus on differentiated macrophages by illustrating the different models used in research, this book presents the molecular mechanisms that regulate the various functions of macrophages. From basic research to clinical investigation, the chapters of this book illustrate the role of macrophages in pathologies.

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Mad on Meth: How New Zealand got hooked on P by Benedict Collins
English | November 1, 2023 | ISBN: 1775542009 | True EPUB | 272 pages | 17.8 MB
Why cook at home when you can order in?

Only 50 years ago, pure methamphetamine was legally prescribed in New Zealand to anyone looking for a boost. But it wasn't long before P was rebranded as the most dangerous and destructive drug in the world - and New Zealanders cemented as among its biggest users.
With dry wit and biting insight, journalist Benedict Collins takes us inside the evolution of meth in New Zealand. From ram raids for pseudoephedrine to our own cooks and gangs 'breaking bad', a visit to the Golden Triangle of meth production in South-East Asia, multimillion-dollar busts, and a moral panic that seeded a meth-testing scandal. All set the stage for unthinkable crimes and drug-fuelled mania, but also serviced a hidden world of white-collar users - and cemented New Zealand's reputation as among the biggest meth consumers in the world.
How did tough on crime become dumb on drugs? And what does a solution to Pure addiction look like?

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Madame Sosostris and the Festival for the Broken-Hearted by Ben Okri
English | March 6, 2025 | ISBN: 1035910756, 9781035910724 | True EPUB | 208 pages | 1.6 MB
In this modern fable with the impish magic of A Midsummer Night's Dream, a masked ball makes two upper-class British couples see each other in a new light.

A wise, enchanting novel about love, power, and our many selves-past and future, public and private-from the Booker Prize-winning author.
There are organizations for people who grieve, for alcoholics and other kinds of addicts. But if you've been devastated by the love of your life walking out on you, where the hell do you go?
On the 20th anniversary of the day her first husband left her, Viv decides to host an unconventional party for those burned by love. She successfully ropes in her reluctant second husband, Alan, and their friends Beatrice and Stephen, and when she meets the famed fortuneteller Madame Sosostris-last seen in T. S. Eliot's The Waste Land, and rumored to be the secret to success of 5 prime ministers-she believes she's found the perfect act to headline her masquerade.
In a sacred wood in the south of France, the partygoers disguise themselves and wait eagerly for the great clairvoyant, who might be able to mend their broken pasts and brighten their futures. But the night soon goes awry, in a comically revealing way that causes our couples to question their relationships and the direction of their lives.

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Magnesium Technology 2025
English | 2025 | ISBN: 3031810600 | 400 Pages | PDF EPUB (True) | 127 MB
The Magnesium Technology Symposium at the TMS Annual Meeting & Exhibition is one of the largest yearly gatherings of magnesium specialists in the world. Papers represent all aspects of the field, ranging from primary production to applications and recycling. Moreover, papers explore everything from basic research findings to industrialization. Magnesium Technology 2025 is a definitive reference that covers a broad spectrum of current topics, including novel extraction techniques; primary production; alloys and their production; integrated computational materials engineering; thermodynamics and kinetics; plasticity mechanisms; cast products and processing; wrought products and processing; forming, joining, and machining; corrosion and surface finishing; fatigue and fracture; dynamic response; structural applications; degradation and biomedical applications; emerging applications; additive manufacturing of powders; and recycling, ecological issues, and life cycle analysis.

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Nianrong Sun, Chunhui Deng, "Magnetic Micro-/Nano-Materials for Proteomics Analysis"
English | 2021 | ISBN: 9811230544 | PDF | pages: 631 | 410.9 mb
'Magnetic micro-/nano-materials for proteomics analysis gives a relatively comprehensive introduction to the preparation of magnetic materials and their application in proteomics by taking some representative examples, which can provide an all-around introduction for those who are interested in this field, including senior specialists and students of the field.' [Read Full Review]Analytical and Bioanalytical ChemistryProteomics is a study which takes the existence and activities of all proteins in cells as the research object for a more in-depth understanding of the laws of life activity. Since the concept of proteome was proposed in 1995, proteomics has achieved rapid development during the past decades. As a significant part of post-genomics, proteomics has strengthened its position and also become the forefront of scientific research in this century. Magnetic nanomaterials in proteomics analysis is an interdisciplinary field combining magnetic nanomaterials science and proteomics. From the current research, magnetic nanomaterials have shown great potential in complex proteomics research.This book focuses on the application of magnetic nanomaterials in the forefront of proteomics research, and describes in details the synthetic methods, properties, principles and performance of magnetic nanomaterials in various branches of proteomics, which includes digestion studies, enrichment of low abundance peptides, as well as the analysis of phosphoprotein and glycoprotein. Past 10 years' research on magnetic materials in proteomics is integrated, and then the application of magnetic nanomaterials in proteomics analysis are stated systematically.This book can serve as reference book for teaching in the major of proteomics analysis, and also can be reference book for researchers who are studying materials for proteomics.

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