Книги по программированию и IT

 Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.

 With this book, you'll discover the art of employing summary statistics, weak …

 Building accurate machine learning models requires quality data-lots of it. However, for most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. Led by Margaux Masson-Forsythe, a seasoned ML engineer and advocate for surgical data science and climate AI advancements, this hands-on guide to active machine learning demonstrates how to train robust models with just a fraction of the data using Python's powerful active learning tools.

 You'll master the …

 Издание представляет собой практический курс, состоящий из 13 разделов (12 из которых интерактивные — для среды JupyterLab). Курс содержит введение в основы языка Python с дальнейшим упором на аналитику данных (работа с наборами данных, статистика, язык SQL, метрики и машинное обучение). Формат материала прост для понимания, а каждый новый раздел включает в себя набор необходимых файлов, ссылок и практических заданий.
 Предназначено для широкого круга читателей, интересующихся вопросами …

 This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers …

 Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and Machine Learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with Data Science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level.

 This book is written for IT professionals …

 Dive into R with this data science guide on machine learning (ML). Machine Learning with R, Fourth Edition, takes you through classification methods like nearest neighbor and Naive Bayes and regression modeling, from simple linear to logistic.

 Dive into practical deep learning with neural networks and support vector machines and unearth valuable insights from complex data sets with market basket analysis. Learn how to unlock hidden patterns within your data …

 Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals.

 This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you …

 Step into the world of asynchronous programming with confidence by conquering the challenges of unclear concepts with this hands-on guide. Using functional examples, this book simplifies the trickiest concepts, exploring goroutines, fibers, futures, and callbacks to help you navigate the vast Rust async ecosystem with ease.

 You'll start by building a solid foundation in asynchronous programming and explore diverse strategies for modeling program flow. The book then guides you through …

 Create apps for iOS and Android phones and tablets using Flutter, a Google framework that produces two outputs for a single app. Let’s face it, creating iOS apps using Apple tools such as Swift and Xcode is extremely complicated. Creating Android apps with Kotlin and Android Studio is just as difficult. This book breaks down complex concepts and tasks into easily digestible segments with examples, full-color pictures, and hands-on labs …

 Практическое и подробное введение в машинное обучение.
 Простые и понятные объяснения и отсутствие необходимости опыта программирования делают эту книгу прекрасной альтернативой академическому учебнику. Здесь представлены основные алгоритмы машинного обучения (ML), которые сопровождаются наглядными примерами и практическими работами. Также вы узнаете про перекрестную проверку, ансамблевое моделирование, поиск по сетке для настройки моделей, проектирование функций, горячее кодирование и многое другое.
 Для разработки интеллектуальных машин в первую очередь надо понять …

 Go, also known as GoLang, is a Google-developed open-source, compiled, and statically typed computer language. Go is a general purpose programming language with a straightforward syntax and a large standard library. The building of highly accessible and scalable web apps is one of the primary areas where GoLang is widely used. It may also be used to develop command-line programs, desktop applications, and even mobile apps.

 Go was designed from …

 Генеративный ИИ — одна из самых обсуждаемых тем в сфере технологий. Пора разобраться с возможностями TensorFlow и Keras, чтобы с легкостью создавать впечатляющие генеративные модели глубокого обучения, включая вариационные автокодировщики (VAE), генеративно-состязательные сети (GAN), трансформеры, нормализующие потоки, модели на основе энергии и диффузионные модели удаления шума.

 Дэвид Фостер, начинает с основ глубокого обучения и постепенно переходит к передовым архитектурам. Благодаря его советам и подсказкам вы узнаете, как …

 Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team’s efficiency. GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects.

 In GitHub Actions in Action you will learn how to:

• Create and share GitHub Actions workflows
• Automate CI/CD workloads and other GitHub tasks
• Secure release pipelines with secrets, variables, and environments
• Support …
  Git Английский PDF

 Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today's computational world. This book is an introductory guide to NLP and LLMs with Python programming.

 The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, …

 This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. Chapter-by-chapter you’ll assemble an impressive portfolio of visualizations—including intricate networks, maps, and even a complete customized visualization layout. Plus, you'll learn best practices for building interactive graphics, animations, and integrating your work into frontend development frameworks like React and Svelte.

 In D3.js in Action, Third Edition you will learn how to:

• Set up …
  JavaScript (JS) Английский PDF