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Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch

Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch

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Publisher	O'Reilly Media
ISBN 10	1098106822
Book 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 terminologyManage the ML lifecycle with MLflowIngest data and perform basic preprocessing with SparkExplore feature engineering, and use Spark to extract featuresTrain a model with MLlib and build a pipeline to reproduce itBuild a data system to combine the power of Spark with deep learningGet a step-by-step example of working with distributed TensorFlowUse PyTorch to scale machine learning and its internal architecture
Book Format	Paperback
Publication Date	11 April 2023

ISBN 13	9781098106829
About the Author	As Vice President of Developer Experience at Treeverse, Adi Polak shapes the future of data & ML technologies for hands-on builders. She also contributes to the lakeFS open-source, a git-like interface for object stores. In her work, Adi brings her vast industry research and engineering experience to bear in educating and helping teams design, architect, and build cost-effective data systems and machine learning pipelines that emphasize scalability, expertise, and business goals. Adi is a frequent worldwide presenter and the author of O'Reilly's upcoming book, "Machine Learning With Apache Spark." She is continually an invited member of multiple program committees and advisor for conferences like Data & AI Summit, Scale by the Bay, and others. Previously, Adi was a senior manager for Azure at Microsoft, where she focused on building advanced analytics systems and modern architectures. When Adi isn't building data pipelines or thinking up new software architecture, you can find her on the local cultural scene or at the beach.
Author	Adi Polak
Language	English
Number of Pages	291 pages

Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch

Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch

Sorry! This product is not available.

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