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Books — distributed computing

RU
Large-Scale Machine Learning with Python

Large-Scale Machine Learning with Python

A

Бастиан Шарден, Лука Массарон, Альберто Боскетти

AI and ML
RU
Parallel Algorithms for Information Security Problem Solving

Parallel Algorithms for Information Security Problem Solving

A

Л. К. Бабенко, Е. А. Ищукова, И. Д. Сидоров

Algorithms and theory
RU
Big Data Processing with Apache Spark

Big Data Processing with Apache Spark

A

Н. А. Бутаков, М. В. Петров, Д. Насонов

AI and ML
RU
Learning Ray. Flexible Distributed Computing in Python for Machine Learning

Learning Ray. Flexible Distributed Computing in Python for Machine Learning

A

Макс Пумперла, Эдвард Оукс, Ричард Ляо

Programming languages
EN
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

A

Hien Luu, Max Pumperla, Zhe Zhang

AI and ML
EN
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

A

Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu

AI and ML
RU
Hadoop in Action

Hadoop in Action

A

Чак Лэм

AI and ML
EN
Concurrent, Parallel and Distributed Computing

Concurrent, Parallel and Distributed Computing

A

Adele Kuzmiakova

OS and System
EN
Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

A

Alfonso Antolínez García

AI and ML
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