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.

Название: State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials
Автор: Liuping Wang and Robin Ping Guan
Издательство: Wiley
Год: 2023
Формат: True PDF
Страниц: 451
Размер: 10 Mb
Язык: English

Discover the control engineering skills for state space control system design, simulation, and implementation
State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology.

Название: Real-World Flutter by Tutorials
Автор: Edson Bueno, Vid Palcar
Издательство: Razeware LLC
Год: 2022
Формат: PDF
Страниц: 321
Размер: 55,8 Mb
Язык: English

This book will teach you to build professional iOS and Android apps for the real world using Flutter. You’ll gain all the foundations of mobile development you need to make the best decisions in your own codebase, while addressing critical problems such as state management, user authentication, and dynamic theming.

Название: Intelligent Algorithms for Packing and Cutting Problem
Автор: Yunqing Rao, Qiang Luo
Издательство: Springer
Год: 2022
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

This book investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction. The book is intended for undergraduate and graduate students who are interested in the solving methods for packing and cutting problems, researchers investigating the application of intelligent algorithms, scientists studying the theory of the operations research and CAM software developers working on integration of packing and cutting problem.

Название: Core Java for the Impatient, 3rd Edition
Автор: Cay S. Horstmann
Издательство: Addison-Wesley Professional
Год: 2023
Формат: True ePUB
Страниц: 884
Размер: 32,7 Mb
Язык: English

Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed and new features such as modularization make you far more effective. However, navigating these changes can be challenging. Core Java for the Impatient, Third Edition, is a complete yet concise guide that includes all the latest changes through Java 17. Written by Cay S. Horstmann--primary author of the classic two-volume Core Java--this indispensable tutorial offers a faster, easier pathway for learning modern Java.