

epub | 6.93 MB | English| Isbn:1098106822 | Author: Polak, Adi | Year: 2023
Description:
Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today’s traditional methods. You’ll learn a more holistic approach that takes you beyond specific requirements and organizational goals-allowing data and ML practitioners to collaborate and understand each other better.
Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you’re a data scientist who works with machine learning, this book shows you when and why to use each technology.
You will:Explore machine learning, including distributed computing concepts and terminology Manage the ML lifecycle with MLflow Ingest data and perform basic preprocessing with Spark Explore…
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