Название: Scaling Python with Ray: Adventures in Cloud and Serverless Patterns (Sixth Early Release)
Автор: Holden Karau, Boris Lublinsky
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 250
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. We wrote this book for developers and data scientists looking to build and scale applications in Python without becoming systems administrators. We expect this book to be most beneficial for individuals and teams dealing with the growing complexity and scale of problems moving from single-threaded solutions to multi-threaded, all the way to distributed computing. While you can use Ray from Java, this book is in Python, and we assume a general familiarity with the Python ecosystem.

Название: Blockchain Tethered AI: How to Tether Artificial Intelligence with Smart Contracts and Tamper-Evident Ledgers (Second Early Release)
Автор: Karen Kilroy, Deepak Bhatta, Lynn Riley
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 166
Язык: английский
Формат: epub (true)
Размер: 26.2 MB

Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. This book is intended for software architects and developers who want to write AI that can be kept under control. It assumes that the reader already has an understanding of AI systems and is aware of the concerns that arise from the release of these systems. It is also assumed that the reader is somewhat familiar with blockchain and how it works. In order to complete the exercises, the reader should first become familiar with NodeJS, Hyperledger Fabric, and TensorFlow, PyTorch, or another popular AI library, and be able to set up an appropriate development environment in which to perform the exercises.

Название: Coding for Beginners - 12th Edition, 2022
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2022
Страниц: 97
Язык: английский
Формат: pdf
Размер: 73.8 MB

Helping You with Your First Steps in Coding! There’s a wealth of choice for anyone wanting to learn how to program but which language do you start with? Python is widely accepted as the best beginners programming language but C++ is one of the most powerful. Linux scripting is a useful skill in today’s job market and coding on the Raspberry Pi with the FUZE is perfect for projects.

Название: The Well-Grounded Java Developer, 2nd Edition (Final Release)
Автор: Benjamin Evans, Jason Clark, Martijn Verburg
Издательство: Manning Publications
Год: 2022
Страниц: 702
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB

Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. The Well-Grounded Java Developer, Second Edition is a complete revision of the classic original with the latest innovations of the Java platform. It upgrades your existing Java skills with both JVM fundamentals like bytecode, and powerful new features such as modules and concurrency models.

Название: Federated and Transfer Learning
Автор: Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, Qiang Yang
Издательство: Springer
Год: 2023
Страниц: 371
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of Federated Learning (FL) as well as its connection with transfer learning and Reinforcement Learning. Over the last few years, the Machine Learning (ML) community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.

Название: Domain-Driven Design with Laravel - Premium Package
Автор: Martin Joo
Издательство: Gumroad
Год: 2022
Формат: PDF
Размер: 25,1 Mb
Язык: English

Полное руководство по освоению предметно-ориентированного дизайна с помощью Laravel. Вы в одном клике от продвижения по карьерной лестнице сразу на два года вперед! «Domain-Driven Design with Laravel» — это полное руководство по освоению DDD в стиле Laravel.

Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Fifth Early Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2022-10-06
Страниц: 602
Язык: английский
Формат: epub (true)
Размер: 18.7 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.

Название: Python The Complete Manual - 14th Edition, 2022
Автор: Katharine Marsh (Editor), Andy Downes (Editor)
Издательство: Future Publishing
Год: 2022
Страниц: 132
Язык: английский
Формат: pdf (true)
Размер: 10.4 MB

Always wanted to have a go at programming? No more excuses, because Python is the perfect way to get started! Python is a great programming language for both beginners and experts. It is designed with code readability in mind, making it an excellent choice for beginners who are still getting used to various programming concepts. The language is popular and has plenty of libraries available, allowing programmers to get a lot done with relatively little code. You can make all kinds of applications in Python: you could use the Pygame framework to write simple 2D games, you could use the GTK libraries to create a windowed application, or you could try something a little more ambitious like an app such as creating one using Python’s Bluetooth and Input libraries to capture the input from a USB keyboard and relay the input events to an Android phone.

Название: Bringing Machine Learning to Software-Defined Networks
Автор: Zehua Guo
Издательство: Springer
Год: 2022
Язык: английский
Формат: pdf (true), epub
Размер: 11.9 MB

Emerging Machine Learning (ML) techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.

Название: Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Second Early Release)
Автор: Kyle Gallatin, Chris Albon
Издательство: O’Reilly Media, Inc.
Год: 2022-10-05
Страниц: 136
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. NumPy is a foundational tool of the Python machine learning stack. NumPy allows for efficient operations on the data structures often used in machine learning: vectors, matrices, and tensors.