Название: Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning
Автор: Joachim Steinwendner, Roland Schwaiger
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 457
Язык: английский
Формат: epub (true)
Размер: 20.1 MB

Neural networks are at the heart of AI—so ensure you’re on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you’ll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you’re interested in Machine Learning, gen AI, LLMs, Deep Learning, or all of the above, this is the AI book you need! This is a hands-on book for getting started with ANNs. Supported by graphics, sample applications, and Python code, we’ll demonstrate how ANNs work and how you can program them yourself. This book consists of two parts. The first part gives you a compact overview from the concept to the implementation of various neural networks. The second part provides background and context for you because you now want to take a broader approach to the topic and add some theory to your first steps.

Название: Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems
Автор: Bert Gollnick
Издательство: Rheinwerk Publishing
Год: 2025
Страниц: 392
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Your guide to Generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master! LLMs have revolutionized the way we interact with text-based AIs. LLMs unlock unparalleled capabilities in language understanding and generation. Well dive into the architectures of these models, dissecting how they learn from massive corpora of data to produce human-like text. Then, we’ll examine prompt engineering, an essential skill in the age of LLMs. You’ll learn how to craft prompts that efficiently navigate the models’ knowledge and capabilities. This book is designed for a wide array of readers, ranging from software developers and data scientists to students and researchers interested in Generative AI. A certain amount of coding background is expected.

Название: Разработка игр на языке jаvascript
Автор: Беляев С. А.
Издательство: Лань
Год: 2020 - 3-е изд.
Cтраниц: 128
Формат: pdf (ocr)
Размер: 18 мб
Язык: русский

Учебное пособие рассматривает ключевые вопросы разработки однопользовательских двумерных игр на языке jаvascript. Пособие построено в практическом ключе, когда в отдельных главах осуществляется поэтапная разработка различных элементов игры. В пособии не выделена отдельная глава для изучения основ jаvascript, его элементы разбираются в процессе изложения основного материала с объяснением базовых особенностей.

Название: PHP, MySQL, & jаvascript All-In-One For Dummies, 2nd Edition
Автор: Richard Blum
Издательство: For Dummies
Год: 2025
Страниц: 728
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Learn the essentials of creating web apps with some of the most popular programming languages. PHP, MySQL, & jаvascript All-in-One For Dummies bundles the essentials of coding in some of the most in-demand web development languages. You'll learn to create your own data-driven web applications and interactive web content. The three powerful languages covered in this book form the backbone of top online apps like Wikipedia and Etsy. Paired with the basics of HTML and CSS―also covered in this All-in-One Dummies guide―you can make dynamic websites with a variety of elements. This book makes it easy to get started. You'll also find coverage of advanced skills, as well as resources you'll appreciate when you're ready to level up. This All-in-One is a great value for new programmers looking to pick up web development skills, as well as those with more experience who want to expand to building web apps.

Название: Learning Go with Networking: Automating network programming, operations, and security
Автор: Yogananth T.V., Balachandar A.
Издательство: BPB Publications
Год: 2025
Страниц: 572
Язык: английский
Формат: pdf, epub (true)
Размер: 14.9 MB

Golang has emerged as a powerful language for networking, known for its efficiency and concurrency, making it ideal for building resilient and scalable network applications. This book is designed to equip networking professionals with the Golang skills needed to navigate this dynamic landscape, providing a practical guide from fundamental concepts to advanced network programming. This book systematically guides you through Golang's core features, including concurrency, generics, and error handling, before diving into essential networking principles like IP, TCP, and UDP. You will learn to develop applications, design synchronous and asynchronous APIs (with a focus on Ponzu and Keycloak), and effectively handle data using formats like JSON and XML, along with stream processing with AMQP, Kafka, and MQTT. The book explores Golang network packages for protocols such as ARP, FTP, DNS, and raw sockets. This book is for software developers, DevOps engineers, backend architects, and cybersecurity professionals who want to build scalable, secure, and efficient systems using Golang. It is ideal for anyone working in infrastructure, automation, or cloud-native development looking to sharpen their development skills in Golang with respect to network programming.

Название: Linux Kernel Programming: Developing kernel architecture and device drivers for character, block, USB, and network interfaces
Автор: Thierry Gayet
Издательство: BPB Publications
Год: 2025
Страниц: 558
Язык: английский
Формат: epub (true)
Размер: 13.8 MB

Linus Torvald released the first version of a kernel in 1991, inspired at the time by both proprietary Unix and the Minix system. Thirty-four years later, this system has evolved with stability and robustness, making it almost indispensable for the DevSecOps community. The Linux kernel forms the robust core of countless systems, from embedded devices to vast data centers, driving unparalleled power and flexibility. This book is your essential guide to deeply understanding this fundamental component and mastering the art of developing high-performance kernel-level code. This book meticulously details the kernel's history, architectural evolution, and custom build processes. You will master device driver fundamentals, distinguishing user from kernel space, and understanding the Linux Device Model (LDM). The guide concludes with task/process management, real-time concepts, and essential kernel debugging and profiling. By the end of this book, you will be well-equipped to confidently develop, optimize, and debug kernel-level code. This book is for software engineers looking to understand the Linux kernel's architecture, modify it, and develop custom modules.

Название: The AI Pocket Book
Автор: Emmanuel Maggiori
Издательство: Manning Publications
Год: 2025
Страниц: 200
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

If you’re worried about your tech career going obsolete in a world of super-powered AI, never fear. The AI Pocket Book crams everything engineers need to know about AI into one short volume you can fit into your pocket. You’ll build a better understanding of AI (and its limitations), learn how to use it more effectively, and future-proof your job against its advancement. The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups. The first part of this chapter is a high-level explanation of how large language models (LLMs) such as ChatGPT work. Two main groups of people should read this book. The first one is software engineers—aspiring, novice, and seasoned ones—who want to understand the effects of AI on their careers and prepare for it. The second group includes people related to or interested in the software industry, even if they’re not engineers themselves.

Название: Software Performance Engineering: A comprehensive guide for high-performance development
Автор: Alon Rotem
Издательство: BPB Publications
Год: 2025
Страниц: 521
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book introduces the concept of Software Performance Engineering throughout the development process. Software performance yields from a wide range of factors: from hardware through coding standards, runtime frameworks, design patterns, quality assurance and testing, and system architectural patterns, to name a few. This book takes a holistic view of the entire software development lifecycle, learning each of its phases, to understand the technologies, techniques, and tools available, and how we can use them to improve the behavior and performance of our system. Technical hands-on chapters introduce tools and libraries, showing practical examples of how to set them up and use them with ease, while theoretical chapters include comprehensive information and deep explanations of a broad selection of concepts, all accompanied by relevant charts, screenshots, and code samples. Code snippets are mainly written in Python, as the book focuses on current technologies, delving into concepts of cloud computing, design patterns, and best practices, in order to learn how to optimize the entire software delivery process, end-to-end.

Название: Applied TinyML: End-to-end machine learning for microcontrollers with examples
Автор: Ricardo Cid
Издательство: BPB Publications
Год: 2025
Страниц: 371
Язык: английский
Формат: epub (true)
Размер: 16.8 MB

AI is useful when it runs in large machines in data centers, but only when it makes it down to stand-alone edge devices will it unlock countless new use cases and applications. TinyML is transforming AI by bringing ML capabilities to small, low-power devices at the very edge of the network. This book will guide you through building these smart devices. It establishes TinyML's core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases. This book is for engineers, developers, and AI enthusiasts eager to build intelligent edge devices. No prior deep expertise in AI or electronics is required; it is perfect for anyone starting their journey in creating smart widgets with TinyML.

Название: Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms
Автор: Luiz Carlos d'Oleron
Издательство: BPB Publications
Год: 2025
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 36.0 MB

Deep learning is revolutionizing how we approach complex problems, and harnessing its power directly within C++ provides unparalleled control and efficiency. This book bridges the gap between cutting-edge Deep Learning techniques and the robust, high-performance capabilities of modern C++, empowering developers to build sophisticated AI applications from the ground up. This book guides you through the entire development lifecycle, starting with a solid foundation in the modern features and essential libraries, like Eigen, for C++. You will master core Deep Learning concepts by implementing convolutions, fully connected layers, and activation functions, while learning to optimize models using gradient descent, backpropagation, and advanced optimizers like SGD, Momentum, RMSProp, and Adam. Crucial topics like cross-validation, regularization, and performance evaluation are covered, ensuring robust and reliable applications. This book is tailored for C++ developers, data scientists, and Machine Learning engineers seeking to implement Deep Learning models using modern C++. A foundational understanding of C++ programming and basic linear algebra is recommended.