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

Author:   Adi Polak
Publisher:   O'Reilly Media
ISBN:  

9781098106829


Pages:   400
Publication Date:   21 March 2023
Format:   Paperback
Availability:   In Print   Availability explained
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Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch


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Author:   Adi Polak
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
ISBN:  

9781098106829


ISBN 10:   1098106822
Pages:   400
Publication Date:   21 March 2023
Audience:   General/trade
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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.

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