Название: Глубокое обучение и игра в го
Автор: Памперла М., Фергюсон К.
Издательство: Москва
Год: 2020
Cтраниц: 372
Формат: pdf (ocr) / djvu
Размер: 14 мб
Язык: русский

Древняя стратегическая игра го представляет собой отличный пример для демонстрации возможностей искусственного интеллекта. В 2016 году система, основанная на принципах глубокого обучения, потрясла мир го, победив одного из чемпионов. Вскоре после этого модернизированный алгоритм AlphaGo Zero сокрушил оригинальную версию бота благодаря использованию при освоении игры методов глубокого обучения с подкреплением.

Название: Statistics with R for Data Analysis
Автор: Mohsen Nady
Издательство: Arcler Press
Год: 2025
Формат: pdf
Страниц: 514
Размер: 10.5 Мб
Язык: английский

This book introduces readers to the fundamental principles of statistics while leveraging R, a powerful programming language for data analysis. It covers essential topics such as data visualization, hypothesis testing, regression, and machine learning, equipping readers with the skills to analyze and interpret data effectively. With practical examples and hands-on exercises, the book is suitable for beginners and intermediate learners looking to enhance their statistical analysis capabilities in academic and professional settings.

Название: When Maths Meets Python: 100 Coding Experiments for Problem Solvers
Автор: Robin Wang
Издательство: Robin Wang
Год: 2024
Формат: pdf, epub
Страниц: 131
Размер: 28,90 Мб
Язык: английский

When Maths Meets Python: 100 Coding Experiments for Problem Solvers bridges the fascinating world of mathematics with the versatility of Python programming. Whether you're new to coding or already familiar with Python, this book offers an engaging, hands-on journey into solving mathematical problems through code.

Название: 3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows (Final Release)
Автор: Florent Poux
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 819
Язык: английский
Формат: epub
Размер: 47.7 MB

Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more. Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. This book is a practical reference for data scientists, engineers, and anyone curious about working with 3D data. It assumes very little, and you’ll find value even without any understanding of Python programming and little familiarity with fundamental data science concepts. Moreover, no prior experience with 3D data processing is necessary.

Название: Business Driven Information Systems, 9th Edition
Автор: Paige Baltzan
Издательство: McGraw-Hill Education
Год: 2025
Страниц: 577
Язык: английский
Формат: pdf (true)
Размер: 48.7 MB

Information Systems discusses various business initiatives first and how technology supports those initiatives second. The premise for this unique approach is that business initiatives should drive technology choices and provide the foundation that will enable students to achieve excellence in business, regardless of their major. The text is available with Connect, McGraw Hill’s course management and adaptive learning system, helping millions of students reach their potential every year. The new 9th edition is state of the art in its discussions, presents concepts in an easy-to-understand format, and allows students to be active participants in learning. By engaging students with numerous case studies, exercises, projects, and questions that enforce concepts, Business Driven Information Systems creates a unique learning experience for both faculty and students. Machine Learning: A type of Artificial Intelligence (AI) that enables computers to understand concepts in the environment and to learn. With Machine Learning, the programmer feeds the programs massive amounts of data and uses algorithms to determine how to process the data. Machine Learning predicts events by coupling algorithms and data to discover future patterns and trends.

Название: Automate the Boring Stuff with Python: Practical Programming for Total Beginners, 3rd Edition (Final Release)
Автор: Al Sweigart
Издательство: No Starch Press
Год: 2025
Страниц: 672
Язык: английский
Формат: epub
Размер: 29.8 MB

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python , you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to: –Search for text in a file or across multiple files; –Create, update, move, and rename files and folders; –Search the Web and download online content; –Update and format data in Excel spreadsheets of any size, etc.

Название: AI Agents with Python: Build Autonomous Systems That Think, Learn, and Act
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2025
Страниц: 507
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The future of AI isn’t just models — it’s agents. Systems that can observe, reason, make decisions, and take action in dynamic environments. In AI Agents with Python, you'll learn how to go beyond isolated models and build fully autonomous systems that combine logic, memory, learning, and action — all in real-world applications. Whether you're a developer, data scientist, or an AI-curious builder, this book walks you through the core components of intelligent agent design — and shows you how to bring them to life with Python. Packed with code examples, architectural blueprints, and real-world use cases, this book gives you everything you need to start building intelligent, useful agents from scratch. Build smarter systems. Automate complex work. Create the future.

Название: Мультимедийное Программирование OpenCV
Автор: Serdar Orazdurdyyev
Издательство: Автор
Год: 2024
Формат: PDF, epub
Страниц: 123
Размер: 10,23 Мб
Язык: русский

Внедрение цифровой обработки изображений / Introduction of Digital Image Processing.

Название: A Concise Introduction to Machine Learning, 2nd Edition
Автор: A.C. Faul
Издательство: CRC Press
Серия: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Год: 2025
Страниц: 242
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of Machine Learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content. The emphasis of the book is on the question of Why—only if “why” an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise. This useful reference should be essential on the bookshelf of anyone employing Machine Learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.

Название: Data Analysis with LLMs: Text, tables, images and sound
Автор: Immanuel Trummer
Издательство: Manning Publications
Год: 2025
Страниц: 233
Язык: английский
Формат: pdf (true)
Размер: 23.7 MB

Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In Data Analysis with LLMs, you’ll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours—or even days—of time. This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You’ll learn how to create meaningful reports, generate informative graphs, and much more. You’ll start with an in-depth exploration of how LLMs work. Then, you’ll dive into no-code data analysis with LLMs, creating custom operators with the OpenAI Python API, and building complex data analysis pipelines with the cutting edge LangChain framework. For data scientists, data analysts, and others who are interested in making their work easier through the use of AI techniques. Readers should have a basic understanding of the Python programming language.