About the Authors
Holden Karau is transgender Canadian, and an active open source contributor. When not in San Francisco working as a software development engineer at IBM’s Spark Technology Center, Holden talks internationally on Apache Spark and holds office hours at coffee shops at home and abroad. She is a Spark committer with frequent contributions, specializing in PySpark and Machine Learning. Prior to IBM she worked on a variety of distributed, search, and classification problems at Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelor of Mathematics in Computer Science. Outside of software she enjoys playing with fire, welding, scooters, poutine, and dancing.
For most of Adi Polak’s professional life, she dealt with data and machine learning. As a data practitioner, she developed algorithms to solve real-world problems using machine-learning techniques.
As an engineer, she led the direction that brought the value of her hands-on machine learning experience into various Fortune 500 companies’ products and services by building upon cutting-edge and emerging technologies. Adi has been working and contributing to the Apache Spark community since 2013 and taught Spark to thousands of students throughout the year. Adi is an official Databricks ambassador, the author of the successful book - Scaling Machine Learning with Spark, and a respected worldwide presenter.
Rachel Warren is a data scientist and software engineer ...
