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