Название: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (Early Release)
Автор: Mahmoud Parsian
Издательство: O’Reilly Media
Год: 2020
Страниц: 166
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples for this framework using PySpark.

Название: Архитектура компьютерных систем
Автор: Белугина С. В.
Издательство: СПб.: Лань
Год: 2020
Cтраниц: 160
Формат: pdf (ocr)
Размер: 12 мб
Язык: русский

Учебная дисциплина «Архитектура компьютерных систем» рассчитана на 74 аудиторных часа и предназначена для студентов 2 курса специальности «Программирование в компьютерных системах». Целью изучения дисциплины является формирование у студентов знаний о представлении информации в вычислительных системах, об архитектуре и принципах работы ЭВМ и её основных логических блоков, организации вычислительных систем.

Название: C#: Simple and Effective Tips and Tricks to Learn C# Programming Effectively
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 240
Язык: английский
Формат: pdf, azw3, mobi, epub
Размер: 10.1 MB

DON’T BUY this book if you are looking for an ordinary piece of literature that is filled to the brim with useless theoretical stuff. DON’T buy this book if you are madly in love with reading prose. Buy a novel instead! DON’T buy this book if you don’t feel ready to scan code and practice it as you read. DON’T buy it if you feel like a sloth. This book is a blessing for those who love to pull up their socks and work. Each day a lot of tech books hit the market but only a few can make it to the top spot. Why? Because tech books are different from other books. They can be complicated. Or perhaps if organized in the right way, they can be really easy and juicy. This book on C# programming is one of the juicy ones. I have reasons to prove that. I consider it juicy because you will get in this book one or two sample codes for each feature that I explain. I also provide the output of the code to avoid any confusion and to allow you to match your results with mine.

Название: API Security in Action (MEAP Version 10) +code
Автор: Neil Madden
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 535
Размер: 16.3 Mb
Язык: English

API Security in Action shows you how to create secure web APIs that you can confidently share with your business partners and expose for public usage. Security expert Neil Madden takes you under the hood of modern API security concepts, including token-based authentication for flexible multi-user security, bootstrapping a secure environment in a Kubernetes microservices architecture, and using lightweight cryptography to secure an IoT device.

Название: Micro Frontends in Action (Final Edition)
Автор: Michael Geers
Издательство: Manning Publications
Год: 2020
Формат: True PDF
Страниц: 296
Размер: 13.2 Mb
Язык: English

By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack.
Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. You’ll learn to integrate web applications made up of smaller fragments using tools such as web components or server side includes, how to solve the organizational challenges of micro frontends, and how to create a design system that ensures an end user gets a consistent look and feel for your application.

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.