Scaling Machine Learning with Spark
Looking to scale your machine learning projects? This book written by Adi Polak offers a comprehensive overview of the tools and resources available for distributed ML with MLlib, TensorFlow, and PyTorch on the Apache Spark ecosystem. Designed for data scientists and engineers alike, this book covers the trade-offs of distributed machine learning and the challenges of keeping up with open source software changes. Get a sneak peek into the upcoming book and learn more about Adi Polak's next big project. Join authors Adi Polak as she goes through key topics from the book together with Holden Karau.
About the experts
VP of Developer Experience at Treeverse & Contributing to lakeFS OSS
Open Source Engineer at Netflix
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Looking to scale your machine learning projects? This book written by Adi Polak offers a comprehensive overview of the tools and resources available for distributed ML with MLlib, TensorFlow, and PyTorch on the Apache Spark ecosystem. Designed for data scientists and engineers alike, this book covers the trade-offs of distributed machine learning and the challenges of keeping up with open source software changes. Get a sneak peek into the upcoming book and learn more about Adi Polak's next big project.
Join authors Adi Polak as she goes through key topics from the book together with Holden Karau.