Название: Graph-Powered Machine Learning (MEAP Version 6)
Автор: Alessandro Negro
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 360
Размер: 28 Mb
Язык: English

Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls.

Название: Robot Operating System (ROS): The Complete Reference (Volume 5) (Studies in Computational Intelligence Book 895)
Автор: Anis Koubaa
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 391
Размер: 10.4 Mb
Язык: English

This book is the fifth volume in the successful book series Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems.

Название: Parallel and High Performance Computing (MEAP Version 9)
Автор: Robert Robey, Yulianna Zamora
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 511
Размер: 20.5 Mb
Язык: English

About the Technology
Modern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software.

Название: Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability (MEAP Version 6) +code
Автор: Oliver Durr, Beate Sick
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 300
Размер: 67.2 Mb
Язык: English

About the Technology
Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data — a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. By utilizing probabilistic techniques, deep learning engineers can judge how reliable their results are, and get a better understanding of how their algorithms function.

Название: Human-in-the-Loop Machine Learning: Active learning, annotation and human-computer interaction (MEAP)
Автор: Robert Munro
Издательство: Manning Publications
Год: 2020
Формат: PDF
Страниц: 371
Размер: 25 Mb
Язык: English

“Human-in-the-Loop machine learning” refers to the need for human interaction with machine learning systems to improve human performance, machine performance, or both. Most machine learning projects do not have the time or budget for human input on every data point, and so need strategies for deciding which data points are the most important for human review. Ongoing human involvement with the right interfaces expedites the efficient labeling of tricky or novel data that a machine can’t process, reducing the potential for data-related errors.

Название: How Machine Learning Works (MEAP)
Автор: Mostafa Samir Abd El-Fattah
Издательство: Manning Publications
Год: 2020
Страниц: 220
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 16.9 MB

How Machine Learning Works gives you an in-depth look at the mathematical and theoretical foundations of machine learning. Seasoned practitioner Mostafa Samir Abd El-Fattah takes you step by step through a real-world ML projects. In it, you’ll learn the components that make up a machine learning problem and explore supervised and unsupervised learning. Blending theoretical foundations with practical ML skills, you’ll learn to read existing datasets using pandas, a fast and powerful Python library for data analysis and manipulation. Then, you’ll move on to choosing and implementing ML models with scikit-learn, a popular Python framework that provides a diverse range of ML models and algorithms.

Название: Algorithms and Data Structures in Action (MEAP V12)
Автор: Marcello La Rocca
Издательство: Manning Publications
Год: 2020
Формат: PDF
Страниц: 736
Размер: 30 Mb
Язык: English

Summary
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Algorithms and Data Structures in Action teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Название: Handbook of Research on Blockchain Technology
Автор: Saravanan Krishnan (Editor), Valentina E. Balas (Editor), Julie Golden (Editor), Y. Harold Robinson (Editor)
Издательство: Academic Press
Год: 2020
Формат: True PDF
Страниц: 467
Размер: 18.3 Mb
Язык: English

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book.

Название: Algorithms Illuminated Part 4: Algorithms for NP-Hard
Автор: Tim Roughgarden
Издательство: Soundlikeyourself Publishing
Год: 2020
Формат: True PDF
Страниц: 272
Размер: 11.8 Mb
Язык: English

Fourth book in a series that provides an accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 4 covers algorithmic tools for tackling NP-hard problems (heuristic algorithms, local search, dynamic programming, MIP and SAT solvers) and techniques for quickly recognizing NP-hard problems in the wild.

Название: Высокопроизводительный код на платформе .NET
Автор: Уотсон Бен
Издательство: СПб.: Питер
Год: 2019
Формат: pdf
Страниц: 416
Размер: 16 mb
Язык: Русский

Хотите выжать из вашего кода на .NET максимум производительности? Эта книга развеивает мифы о CLR, рассказывает, как писать код, который будет просто летать. Воспользуйтесь ценнейшим опытом специалиста, участвовавшего в разработке одной из крупнейших .NET-систем в мире.
В этом издании перечислены все достижения и улучшения, внесенные в .NET за последние несколько лет, в нем также значительно расширен охват инструментов, содержатся дополнительные темы и руководства.