Название: Secrets of Machine Learning: How It Works and What It Means for You Автор: Tom Kohn Издательство: World Scientific Publishing Год: 2024 Страниц: 239 Язык: английский Формат: pdf (true) Размер: 10.5 MB
Cutting through the mass of technical literature on Machine Learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means Machine Learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars. Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of Machine Learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts. If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how Machine Learning will affect your job -- read this book. Anyone curious about how technology is changing in the workplace and the economy will benefit from learning how Machine Learning is filtering into different areas. Employees looking to future-proof their own skills, students seeking to get ahead as they enter the job market, and anyone with a general interest in cutting-edge industry.
Название: Metaheuristics for Machine Learning: Algorithms and Applications Автор: Kanak Kalita, Narayanan Ganesh Издательство: Wiley-Scrivener Серия: Artificial Intelligence and Soft Computing for Industrial Transformation Год: 2024 Страниц: 327 Язык: английский Формат: pdf, epub Размер: 10.1 MB
The book unlocks the power of nature-inspired optimization in Machine Learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in Machine Learning and Artificial Intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing Machine Learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into Machine Learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and Machine Learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Genetic algorithms (GAs) fit to a cluster of metaheuristic optimization techniques that draw inspiration from natural selection and genetics. In order to find the optimal solution for a particular issue, the core idea underlying the GA is to mimic the evolutionary process.
Название: Контракт с демоном Автор: Татьяна Федоткина Издательство: Самиздат Год: 2024 Страниц: 125 Формат: pdf Язык: русский Размер: 10,4 Мб
Вика - девушка, чей мир переворачивается с появлением загадочного кристалла, исполняющего желания. Однако она скоро узнает, что цена за исполнение этих желаний намного выше, чем она могла представить. Привязанный к кристаллу демон хитростью заставляет её заключить договор, требуя уничтожить артефакт. В этой схватке с силами тьмы девушке придётся столкнуться с собственными страхами и принять невероятно трудное решение, которое изменит её жизнь навсегда.
Название: Clean Code Principles and Patterns, 2nd Edition : A Software Practitioner's Handbook Автор: Petri Silén Издательство: Leanpub Год: 2024-04-07 Страниц: 672 Язык: английский Формат: pdf (true), epub Размер: 61.4 MB
This book teaches you how to write clean code. It presents software design and development principles and patterns in a very practical manner. This book is suitable for both junior and senior developers. Some basic knowledge of programming in Python is required. All examples in this book are presented in Python, except some examples related to frontend code, which are in jаvascript/TypeScript. The content of this book is divided into ten chapters. All Python examples in this book require Python 3.11 or later. This is a book for primarily software developers. For that reason, some topics are not covered exhaustively. This includes topics related to architecture, DevSecOps, E2E, and non-functional testing. Those are topics most relevant to software architects, DevOps specialists and test/QA engineers. I want to cover them in this book because it is always good to have a basic understanding of topics closely related to software development. This book presents a lot of principles, best practices, and patterns. It can be difficult to grasp them all on a single read, which is not the purpose. You should pick the most relevant topics for yourself, embrace them, and try to put them into use in everyday coding.
Название: Automatic Speech Recognition and Translation for Low Resource Languages Автор: L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi Издательство: Wiley-Scrivener Год: 2024 Страниц: 646 Язык: английский Формат: epub Размер: 42.5 MB
This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology.
Название: Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications Автор: Elakkiya R., Subramaniyaswamy V. Издательство: Wiley-Scrivener Год: 2024 Страниц: 384 Язык: английский Формат: epub Размер: 10.1 MB
The combination of cognitive analytics and Reinforcement Learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research. Cognitive analytics and Reinforcement Learning are pivotal branches of Artificial Intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications. Readers will uncover the latest advancements in AI and Machine Learning, gaining valuable insights into how these technologies are revolutionizing various industries, including transforming healthcare by enabling smarter diagnosis and treatment decisions, enhancing the efficiency of smart cities through dynamic decision control, optimizing debt collection strategies, predicting optimal moves in complex scenarios like chess, and much more. The book caters to a diverse audience that spans academic researchers, AI practitioners, data scientists, industry leaders, tech enthusiasts, and educators who associate with Artificial Intelligence, data analytics, and cognitive sciences.
Название: Data Science Fundamentals with R, Python, and Open Data Автор: Marco Cremonini Издательство: Wiley Год: 2024 Страниц: 461 Язык: английский Формат: epub Размер: 10.1 MB
Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start Data Science projects. Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out Data Science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers’ active learning. Each chapter presents one or more case studies. Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to Computer Science, and medical fields using stochastic and quantitative models.
Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data. Outliers can be the most informative parts of your data, revealing hidden insights, novel patterns, and potential problems. For a business, this can mean finding new products, expanding markets, and flagging fraud or other suspicious activity. Outlier Detection in Python introduces the tools and techniques you’ll need to uncover the parts of a dataset that don’t look like the rest, even when they’re the more hidden or intertwined among the expected bits. Outlier Detection in Python is a comprehensive guide to the statistical methods, Machine Learning, and Deep Learning approaches you can use to detect outliers in different types of data. Throughout the book, you’ll find real-world examples taken from author Brett Kennedy’s extensive experience developing outlier detection tools for financial auditors and social media analysis. Plus, the book’s emphasis on interpretability ensures you can identify why your outliers are unusual and make informed decisions from your detection results. Each key concept and technique is illustrated with clear Python examples. All you’ll need to get started is a basic understanding of statistics and the Python data ecosystem. For Python programmers familiar with tools like pandas and NumPy, and the basics of statistics.
Название: 100 C++ Mistakes and How to Avoid Them (MEAP v2) Автор: Rich Yonts Издательство: Manning Publications Год: 2024 Страниц: 220 Язык: английский Формат: pdf, azw3, epub, mobi Размер: 10.1 MB
Learn how to handle errors, inefficiencies, and outdated paradigms by exploring the most common mistakes you’ll find in production C++ code. C++ is a complex and powerful language. With an estimated ten billion lines of C++ code running in production, it’s not hard to find bugs, inefficiencies, and other coding mistakes that slow and snarl even the most mission critical applications. 100 C++ Mistakes and How To Avoid Them reveals the problems you’ll inevitably encounter as you write new C++ code and diagnose legacy applications, along with practical techniques you need to resolve them. 100 C++ Mistakes and How To Avoid Them identifies the problems you’ll find in legacy C++ codebases as well as in your own new programs. Author Rich Yonts provides a concrete example of each mistake and a step-by-step walkthrough of the correct code. You’ll learn to consider each mistake from the standpoint of correctness, readability, effectiveness, and performance, and adopt modern programming techniques that can replace older, outdated approaches. The book focuses on newer developers who inherit existing C++ projects. Understanding why specific mistakes exist helps you know how to detect and avoid writing similar issues. The mistakes start with class design and end with a few modern C++ techniques. Learning these new features should encourage you to improve your inherited code and leave it in a much better state for the next developer. Both beginning and experienced C++ programmers will benefit from these practical tips and advice.
Название: От царской Скифии к Святой Руси Автор: Ларионов В. Издательство: М.: Яуза; Эксмо Год: 2005 Cтраниц: 640 Формат: pdf Размер: 11 мб Язык: русский
Где таинственный и древний исток славянского племени? Почему происхождение славян покрыто тайной и вызывает многочисленные споры? Почему историческая наука традиционно восстанавливает этническую историю народа по черепкам битой посуды, категорически игнорируя расово-генетический аспект преемственности русского этноса по отношению к племенам, что издавна населяли Восточную Европу? Отвечая на эти вопросы, которые волновали ещё дореволюционных историков, но не нашли полного отражения в их работах, мы прикасаемся к главной тайне исторического мессианства народа, которому суждено было зародиться в недрах «скифского квадрата» в незапамятные времена.
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