Название: C++ for Machine Learning: A Comprehensive Programming Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2025
Страниц: 590
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

C++ for Machine Learning. Build Lightning-Fast AI Systems with the Power of Native Code. Discover the full potential of artificial intelligence by harnessing the speed, precision, and control of C++. While most Machine Learning resources stop at Python, this groundbreaking guide goes deeper—showing you how to build high-performance ML models and systems from the ground up using one of the world’s fastest programming languages. Machine Learning is at the heart of tomorrow’s breakthroughs, and C++ stands out as the language that not only meets but exceeds these demands. Renowned for its speed, control, and versatility, C++ empowers you to build high-performance models and robust applications that can tackle real-world challenges—from analyzing big data to driving autonomous systems. This book is crafted to show you how to harness that power. Throughout these pages, you will explore a comprehensive curriculum that begins with the fundamentals of C++ and gently escalates to advanced topics like neural networks, Deep Learning, and even reinforcement learning.

Название: Beginning jаvascript Syntax: Understanding Syntactical Rules and Structures for Better jаvascript Programming
Автор: Sonu Kapoor
Издательство: Apress
Год: 2025
Страниц: 489
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

This book is a practical and beginner-friendly guide that focuses exclusively on the syntax of jаvascript, the most widely-used programming language for web development today. Designed to be a clear and accessible introduction for new learners, this book will teach you the essential syntax rules and constructs of jаvascript in a structured, easy-to-understand format. With the explosive growth of web applications and the continued dominance of jаvascript in frameworks like Angular, React, and Node.js, learning jаvascript has never been more relevant. For those starting out in web development, this book will provide the essential foundation needed to build more advanced skills. While other beginner guides may try to cover too much too quickly, this book deliberately focuses on core syntax, so you build a solid understanding from the ground up. For web developers, students, or professionals transitioning into the tech industry.

Название: Организация параллельных потоков в 2-х частях
Автор: Валентин Юльевич Арьков
Издательство: Издательские решения
Год: 2020
Формат: pdf
Страниц: 48, 124
Размер: 20,17 Мб
Язык: русский

При решении инженерных, экономических и научных задач используются высокопроизводительные вычисления — High Performance Computing или сокращённо HPC. Параллельные программы нужны для того, чтобы использовать вычислительные мощности многоядерных процессоров и графических ускорителей. В данной работе мы рассмотрим технологию автоматической организации параллельных потоков для многоядерных вычислительных машин. В данной лабораторной работе рассматриваются основы организации параллельных потоков с помощью стандартных вызовов операционной системы. В работе используется бесплатная интегрированная среда разработки. Приводятся примеры программ на языке Си.

Название: Создаём телеграм-бота на Python
Автор: Никита Алексеевич Войтов
Издательство: Автор
Год: 2025
Формат: pdf
Страниц: 20
Размер: 11,48 Мб
Язык: русский

Эта книга - практическое руководство по созданию современных Telegram-ботов на Python с использованием асинхронного фреймворка aiogram. Она рассчитана на начинающих и продолжающих разработчиков, которые хотят быстро освоить все этапы разработки: от первых шагов и настройки окружения до построения сложных интерактивных ботов с базой данных, кнопками, многошаговыми диалогами и интеграцией с внешними сервисами.

Название: Causal AI (Final Release)
Автор: Robert Osazuwa Ness
Издательство: Manning Publications
Год: 2025
Страниц: 520
Язык: английский
Формат: epub (true)
Размер: 19.2 MB

Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality. Causal AI introduces the tools, techniques, and algorithms of causal reasoning for Machine Learning. This unique book masterfully blends Bayesian and probabilistic approaches to causal inference with practical hands-on examples in Python. Along the way, you’ll learn to integrate causal assumptions into Deep Learning architectures, including reinforcement learning and large language models. You’ll also use PyTorch, Pyro, and other ML libraries to scale up causal inference. This book assumes you are familiar with Data Science scripting in Python. For data scientists and Machine Learning engineers. Examples in Python.

Название: Mastering Data Analysis With Python: Wrangle, Clean, Analyze, and Visualize Data from Scratch
Автор: SK Singh
Издательство: KnoDAX
Год: 2025
Страниц: 618
Язык: английский
Формат: epub
Размер: 24.9 MB

Master the art and science of data analysis with Python—no experience required. Whether you're a student exploring data for the first time, a professional looking to upskill, or an aspiring analyst preparing for your first role, Mastering Data Analysis With Python is your complete, hands-on guide to turning raw data into real-world insights. This comprehensive book walks you through the full lifecycle of data analysis—starting with foundational concepts and Python programming, and guiding you through data wrangling, statistical analysis, visualizations, and project-based applications. With a strong emphasis on practical skills, industry best practices, and interactive exploration using Jupyter Notebooks, you’ll gain the confidence to tackle real data problems with clarity and precision. Work with essential libraries: Develop hands-on fluency with NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn, and know when to use each.

Название: Machine Learning: Algorithms, Theory and Practice - A Comprehensive Hands-On Guide with Python
Автор: Vimal Mishra, SK Singh
Издательство: KnoDAX
Год: 2025
Страниц: 584
Язык: английский
Формат: epub
Размер: 29.8 MB

Unlock the power of Machine Learning with a guide designed to take you from foundational concepts to cutting-edge applications. Machine Learning: Algorithms, Theory, and Practice is your all-in-one companion for mastering the theory and hands-on techniques behind modern ML systems—crafted for students, developers, educators, and professionals alike. This comprehensive guide is structured for progressive learning. You’ll start with the essentials of AI and Python programming, then advance through data preprocessing, statistical modeling, and classical Machine Learning algorithms. From there, you'll dive into Deep Learning, natural language processing (NLP), reinforcement learning, and generative AI—each topic reinforced with real-world coding exercises and clear explanations. Whether you're aiming for AI certifications, transitioning into a Machine Learning role, or applying ML techniques to real-world challenges, this book provides both the conceptual clarity and practical skills to help you thrive in the evolving world of Machine Learning.

Название: RESTful Web API паттерны и практики
Автор: Майк Амундсен
Издательство: Спринт Бук
Год: 2025
Формат: pdf
Страниц: 464
Размер: 37,7 Мб
Язык: русский

В настоящее время многие организации создают и поддерживают приложения, основанные на сторонних сервисах. Разработчикам программного обеспечения и архитекторам часто приходится заниматься координацией и поддержкой приложений на основе API существующих сервисов, работающих за пределами их экосистемы. Найдите проверенные рецепты, которые помогут объединить множество разрозненных компонентов в вашей сети. Майк Амундсен предлагает пошаговые решения для поиска, связывания и поддержки приложений, созданных сторонними разработчиками. Неважно, делаете ли вы мобильные приложения, ориентированные на людей, или мощные решения, основанные на межмашинных взаимодействиях, вы найдете правила, процедуры, команды и протоколы объединения отдельных API, способствующие их безопасной, масштабируемой и надежной совместной работе.

Название: Statistics for Data Science and Analytics
Автор: Peter C. Bruce, Peter Gedeck, Janet Dobbins
Издательство: Wiley
Год: 2025
Страниц: 381
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 29.8 MB

Introductory statistics textbook with a focus on Data Science topics such as prediction, correlation, and data exploration. Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of Machine Learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of “kitchen sink” formulas. Regression is taught both as a tool for explanation and for prediction. Python is a general programming language that can be used in many different areas. It is especially popular in the Machine Learning and Data Science communities. A wide range of libraries provide efficient solutions for almost every need, from simple one-off scripts, to web servers, and highly complex scientific applications. As we will see throughout this book, it also has great support for statistics.

Название: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
Автор: Carlos A.S. Oliveira, Miltiades P. Pardalos
Издательство: Springer
Год: 2025
Страниц: 273
Язык: английский
Формат: True PDF, True EPUB
Размер: 27.9 MB

This handbook delves into the rapidly evolving field of Artificial Intelligence (AI) and optimization, focusing on the intersection of Machine Learning, combinatorial optimization, and real-world applications in transportation and network design. Covering an array of topics from classical optimization problems such as the Traveling Salesman Problem and the Knapsack Problem, to modern techniques including advanced heuristic methods, Generative Adversarial Networks, and Variational Autoencoders, this book provides a roadmap for solving complex problems. The included case studies showcase practical implementations of algorithms in predicting route sequences, traffic management, and eco-friendly transportation. This comprehensive guide is essential for researchers, practitioners, and students interested in AI and optimization.