Ameet Talwalkar

Ameet Talwalkar is an assistant professor of Computer Science at UCLA and a technical advisor for Databricks. His research addresses scalability and ease-of-use issues in the field of statistical machine learning, with applications in computational genomics. He led the initial development of the MLlib project in Apache Spark and is a co-author of the graduate-level textbook 'Foundations of Machine Learning' (2012, MIT Press). Prior to UCLA, he was an NSF post-doctoral fellow in the AMPLab at UC Berkeley. He obtained a B.S. from Yale University and a Ph.D. from the Courant Institute at NYU.
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Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

CS: Software Engineering Statistics & Data Analysis

Embark on a journey into the world of Distributed Machine Learning with our expert-led course, designed for those eager to harness the power of Apache Spark. This course will equip you with the essential principles needed to develop robust machine learning (ML) pipelines that can scale effortlessly with your data. Dive deep into understanding how ML extracts valuable insights from vast datasets and gain practical experience using Apache Spark's powerful capabilities.

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4 Weeks
Algorithms Machine Learning Exploratory Data Analysis
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