Название: Explainable Artificial Intelligence: A Practical Guide
Автор: Parikshit Narendra Mahalle, Yashwant Sudhakar Ingle
Издательство: River Publishers
Год: 2024
Страниц: 104
Язык: английский
Формат: pdf (true), epub
Размер: 14.6 MB

This book explores the growing focus on Artificial Intelligence (AI) systems in both industry and academia. Explainable Artificial Intelligence (XAI) comprises a set of frameworks and tools to assist us in forecasting futuristic events with the aid of Machine Learning/evolutionary and intelligent techniques. XAI helps to improve the performance of the automated models and to train the automated tools for diverse engineering purposes. XAI can also assist in the generation of feature attributions for forecasting the model behavior with respect to different inputs. XAI is used in diverse fields such as marketing, Data Science, engineering, medical science, and economics. Explainable Artificial Intelligence: A Practical Guide is a comprehensive guide to the reader which covers the fundamentals of traditional AI to the current status of XAI. In a nutshell, this book puts forward the best research roadmaps, strategies and challenges to design and develop XAI applications.

Название: MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2024b)
Автор: The MathWorks
Издательство: The MathWorks, Inc.
Год: September 2024
Страниц: 12578
Язык: английский
Формат: pdf (true)
Размер: 57.4 MB

"Инструментарий статистики и машинного обучения" предоставляет функции и приложения для описания, анализа и моделирования данных. Вы можете использовать описательную статистику, визуализацию и кластеризацию для анализа данных, сопоставления распределений вероятностей с данными, генерации случайных чисел для моделирования методом Монте-Карло и проверки гипотез. Алгоритмы регрессии и классификации позволяют вам делать выводы на основе данных и использовать приложение Classification и Regression Learner или использовать AutoML для интерактивного анализа. Для анализа многомерных данных и извлечения признаков инструментарий предоставляет методы анализа основных компонентов (PCA), регуляризации, сокращения и выбора признаков, которые помогут вам получить наилучшие прогнозы.

Название: Серия "Программирование для всех" в 4 книгах
Автор(ы): разные
Издательство: Москва
Год: 2023-2024
Страниц: 1000+
Формат: fb2, pdf
Размер: 16 Мб
Язык: русский

Очень хочется стать программистом и войти в IT, но не знаете с чего начать? Поздравляю, в ваших руках учебник нового поколения – без кучи непонятных слов и кодов расскажем про инструменты и библиотеки для программирования на Python. И все это заправлено лайфхаками, вдохновляющими историями из мира настоящих хакеров и игрофикацией – потому что обучение не должно быть скучным.

Название: High-Performance Algorithmic Trading Using AI: Strategies and Insights for Developing Cutting-Edge Trading Algorithms
Автор: Melick R. Baranasooriya
Издательство: BPB Publications
Год: 2024
Страниц: 358
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

"High-Performance Algorithmic Trading using AI" is a comprehensive guide designed to empower both beginners and experienced professionals in the finance industry. This book equips you with the knowledge and tools to build sophisticated, high-performance trading systems. It starts with basics like data preprocessing, feature engineering, and ML. Then, it moves to advanced topics, such as strategy development, backtesting, platform integration using Python for financial modeling, and the implementation of AI models on trading platforms. Each chapter is crafted to equip readers with actionable skills, ranging from extracting insights from vast datasets to developing and optimizing trading algorithms using Python's extensive libraries. It includes real-world case studies and advanced techniques like Deep Learning and reinforcement learning. The book wraps up with future trends, challenges, and opportunities in algorithmic trading.

Название: Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide
Автор: Van Thanh Tien Nguyen, Nhut T.M. Vo, Van Chinh Truong
Издательство: CRC Press
Год: 2025
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 13.4 MB

As multicriteria decision-making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and Machine Learning techniques, enabling readers to make informed decisions about their use in different scenarios. This book is designed for professionals, researchers, and practitioners in engineering, Computer Science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of Machine Learning applications in multicriteria decision-making.

Название: Artificial Intelligence: Technical and Societal Advancements
Автор: Utku Kose, Mustafa Umut Demirezen
Издательство: CRC Press
Год: 2025
Страниц: 349
Язык: английский
Формат: pdf (true)
Размер: 36.8 MB

This book provides an examination of cutting-edge research and developments in the field of Artificial Intelligence (AI). It seeks to extend the view in both technical and societal evaluations to ensure a well-defined balance for societal outcomes. It explores hot topics such as Generative Artificial Intelligence (GenAI), Artificial Intelligence in law, education, and climate change. Artificial Intelligence: Technical and Societal Advancements seeks to bridge the gap between theory and practical applications of AI by giving readers insight into recent advancements. It offers readers a deep dive into the transformative power of AI for the present and future world. As Artificial Intelligence continues to revolutionize various sectors, the book discusses applications from healthcare to finance and from entertainment to industrial areas. It discusses the technical aspects of intelligent systems and the effects of these aspects on humans. To this point, this book considers technical advancements while discussing the societal pros and cons in terms of human-machine interaction in critical applications. The target readers of this book include academicians; researchers; experts; policymakers; educators; and B.S., M.S., and Ph.D. students in the context of target problem fields. It can be used accordingly as a reference source and even supportive material for Artificial Intelligence-oriented courses.

Название: Supply Chain Software Security: AI, IoT, and Application Security
Автор: Aamiruddin Syed
Издательство: Apress
Год: 2024
Страниц: 533
Язык: английский
Формат: pdf
Размер: 10.1 MB

Delve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks. This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether you're managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end. The target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices.

Название: ASYNC Rust: Unleashing the Power of Fearless Concurrency
Автор: Maxwell Flitton, Caroline Morton
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 315
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Already popular among programmers for its memory safety and speed, the Rust programming language is also valuable for asynchrony. This practical book shows you how asynchronous Rust can help you solve problems that require multitasking. You'll learn how to apply async programming to solve problems with an async approach. You will also dive deeper into async runtimes, implementing your own ways in which async runtimes handle incoming tasks. Asynchronous programming in Rust, often referred to as Async Rust, is a powerful paradigm that allows developers to write concurrent code that is more efficient and scalable. Rust’s type system and ownership model provide the safety guarantees that we all love. However, mastering async Rust requires an understanding of specific concepts, such as futures, pinning, and executors. This book will guide you through these concepts, equipping you with the knowledge needed to apply async to your own projects and programs. This book is aimed at intermediate Rust developers who want to learn how to improve their applications and programs by using the range of asynchronous functionality available to them.

Название: The Data Science Handbook, 2nd Edition
Автор: Field Cady
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: True/Retail EPUB, PDF
Размер: 10.1 MB

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in Data Science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Data Science is a quickly evolving field, and this 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. I have also updated my treatment of Spark to cover its new DataFrame interface, and reduced the emphasis on Hadoop since it is on the decline. Other changes include a reduced emphasis on Bayesian networks (which have waned in popularity with the rise of Deep Learning), a switch from Python 2 to Python 3, and numerous improvements to the prose. The example code in this book is all in Python, except for a few domain‐specific languages such as SQL.

Название: 300+ Python Algorithms: Mastering the Art of Problem-Solving
Автор: Hernando Abella
Издательство: Aluna Publishing House
Год: 2024
Страниц: 399
Язык: английский
Формат: pdf, epub (true), azw3, mobi
Размер: 10.1 MB

This book provides an essential collection of algorithms designed to help you solve a wide range of programming problems. It's perfect for beginners looking to gain key knowledge and improve their skills efficiently. With clear and practical explanations, this book serves as an excellent guide for those just starting their programming journey, offering a solid foundation to help them progress quickly. Why you should study algorithms: Problem-Solving Skills: Algorithms help you approach and solve complex problems efficiently, which is essential in programming and real-life applications. Efficient Coding: Understanding algorithms allows you to write code that performs faster and uses fewer resources, leading to optimized software. Foundational Knowledge: Algorithms form the backbone of computer science, giving you a strong foundation for advanced topics like Artificial Intelligence, Machine Learning, and cryptography. Software Efficiency: By studying algorithms, you learn how toimprove the overall efficiency of the software you build, which can lead to better user experiences and lower operational costs.