Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch
商品資訊
ISBN13:9781098106829
出版社:OREILLY MEDIA
作者:Adi Polak
出版日:2023/04/04
裝訂:平裝
商品簡介
Get up to speed on Apache Spark, the popular engine for large-scale data processing, including machine learning and analytics. If you're looking to expand your skill set or advance your career in scalable machine learning with MLlib, distributed PyTorch, and distributed TensorFlow, this practical guide is for you. Using Spark as your main data processing platform, you'll discover several open source technologies designed and built for enriching Spark's ML capabilities.
Scaling Machine Learning with Spark examines various technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLFlow, TensorFlow, PyTorch, and Petastorm. This book shows you when to use each technology and why. If you're a data scientist working with machine learning, you'll learn how to:
- Build practical distributed machine learning workflows, including feature engineering and data formats
- Extend deep learning functionalities beyond Spark by bridging into distributed TensorFlow and PyTorch
- Manage your machine learning experiment lifecycle with MLFlow
- Use Petastorm as a storage layer for bridging data from Spark into TensorFlow and PyTorch
- Use machine learning terminology to understand distribution strategies
主題書展
更多書展本週66折
您曾經瀏覽過的商品
購物須知
外文書商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。部份書籍,因出版社供應狀況特殊,匯率將依實際狀況做調整。
無庫存之商品,在您完成訂單程序之後,將以空運的方式為你下單調貨。為了縮短等待的時間,建議您將外文書與其他商品分開下單,以獲得最快的取貨速度,平均調貨時間為1~2個月。
為了保護您的權益,「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨,請在商品鑑賞期內寄回,且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。