Scaling Machine Learning with Spark: Distributed ML with...

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Scaling Machine Learning with Spark:...

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Name: Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
ISBN: 9781098106829

Adi Polak

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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...

Categorie:

Computers - Artificial Intelligence (AI)

Anno:

2023

Casa editrice:

O'Reilly Media

Lingua: