Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today’s most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory.You’ll start from the basics, and using PyTorch with real dat...
GPT/AI/ИИ Английский PDFOur world is complex. To make sense of it, data analysts routinely fit sophisticated statistical or machine learning models. Interpreting the results produced by such models can be challenging, and researchers often struggle to communicate their findings to colleagues and stakeholders. Model to Meaning is a book designed to bridge that gap. It is a practical guide for anyone who needs to translate...
Python R Английский PDFAdvanced Forecasting with Python, Second Edition, is a comprehensive and practical guide to mastering modern forecasting techniques using Python. Designed for data scientists, analysts, and machine learning practitioners, this updated edition bridges the gap between classical forecasting models and cutting-edge, AI-powered techniques that are reshaping the field.The book begins with foundational m...
Python Английский PDFData clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origins in the 1950s. Over the past six decades, researchers from various fields have proposed numerous clustering algorithms. In 2011, I wrote a book on implementing clustering algorithms in C++ using object-oriented programming. While C++ offers efficiency, its steep learning curve m...
Python Английский PDFClassical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.This newly updated and revised second edition include...
Python Английский PDFAs an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minut...
GPT/AI/ИИ Python Английский PDFEssentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key...
Big Data/DataScience Python R Английский PDFPython has become one of the most versatile and widely used programming languages, known for its simplicity and efficiency. Python Made Easy is designed to help beginner developers easily learn the fundamentals and intermediate concepts of Python. This book provides a structured approach to learning Python, covering essential topics from basic syntax to complex data structures and numerical comput...
Python Английский PDFAre you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs w...
Big Data/DataScience GPT/AI/ИИ Python Английский PDFThe only way to master a skill is practice, practice, practice. That’s exactly what you’ll do in this book! In this instantly-valuable book you’ll work through 200 carefully selected exercises that flex your programming muscles.You’ll practice core Python language features and techniques that reinforce the programming patterns you’ll use every day and build the skills you need to troubleshoot your...
Python Английский PDFВ учебнике дается описание языка C++, его ключевых понятий и основных приемов программирования на нем. Это завершенное руководство, написанное создателем языка, которое содержит описание всех средств С++, в том числе управление исключительными ситуациями, шаблоны типа (параметризованные типы данных) и множественное наследование. C++ является языком программирования общего назначения. Естественная...
C++ Русский PDFGo beyond C by applying modern C++ in embedded systems to enhance code readability, maintainability, and scalabilityKey FeaturesBridge the gap between C and modern C++ for embedded systems through practical examplesLearn how to save memory and cut down on runtime computing using compile-time computation techniquesImprove your software design skills by applying patterns to solve common problems in...
C C++ Английский PDFСпроектировать хороший интерфейс приложения не так просто. Все заказчики хотят, чтобы пользовательский опыт (user experience) был гладким, чтобы пользователь быстро и безболезненно получал то, что ему нужно, на любом устройстве и пользуясь любым каналом взаимодействия.Главная «фишка» книги — паттерны проектирования. Вы научитесь использовать паттерны при разработке интерфейсов мобильных, настольны...
UX/UI Проектирование/System Design Английский PDFAPI Design Patterns lays out a set of design principles for building internal and public-facing APIs.SummaryA collection of best practices and design standards for web and internal APIs.In API Design Patterns you will learn:Guiding principles for API patternsFundamentals of resource layout and namingHandling data types for any programming languageStandard methods that ensure predict...
Проектирование/System Design Английский PDFYour training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process.In this hands-on guide, author Anthony Sarkis--lead engineer for the Diffgram AI traini...
Big Data/DataScience Machine Learning (ML) Английский PDF