Machine Learning with Apache Spark (Early Release)КНИГИ » ПРОГРАММИНГ
Название: Machine Learning with Apache Spark (Early Release) Автор: Adi Polak Издательство: O’Reilly Media Год: 2021-12-20: First Release Формат: ePUB Страниц: 116 Размер: 10 Mb Язык: English
Advances in machine learning techniques, the cloud, and the ability to leverage hardware acceleration have changed the way we work with data--adding entirely new capabilities and business models to the mix. But the demand for processing training data has outpaced the increase in computation power. This practical and comprehensive guide will show you how to distribute your machine learning workload across multiple machines and turn centralized systems into distributed ones. Machine Learning with Spark examines various technologies for building end-to-end distributed machine learning platforms based on the Apache Spark ecosystem with Spark MLlib, TensorFlow, Horovod, PyTorch, and more. This book shows you when to use each technology and why. You'll also learn how to
Build efficient parallelization of the training process Create a coherent model Leverage a set of open source tools to build scalable end-to-end ML platform Enable more advanced, tailor-made products Use distributed ML techniques to increase the quality of predictions and ML modules Design practical distributed machine learning systems
Developing Spark Applications with Python Название: Developing Spark Applications with Python Автор: Xavier Morera, Nereo Campos Издательство: Big Data Inc Год: December 16, 2019 Страниц:...
Big Data Processing with Apache Spark Название: Big Data Processing with Apache Spark Автор: Srini Penchikala Издательство: Год: 2018 Страниц: 104 Формат: PDF Размер: 10 Mb Язык: English...
Навигация
Вход на сайт
Реклама
Machine Learning with Apache Spark (Early Release) 
