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Distributed Machine Learning with Python Cover

Distributed Machine Learning with Python

Accelerating model training and serving with distributed systems

Paid access
|May 2022

Authors

Wang Guanhua :

Guanhua Wang is a final-year Computer Science PhD student in the RISELab at UC Berkeley, advised by Professor Ion Stoica. His research lies primarily in the Machine Learning Systems area including fast collective communication, efficient in-parallel model training and real-time model serving. His research gained lots of attention from both academia and industry. He was invited to give talks to top-tier universities (MIT, Stanford, CMU, Princeton) and big tech companies (Facebook/Meta, Microsoft). He received his master's degree from HKUST and bachelor's degree from Southeast University in China. He also did some cool research on wireless networks. He likes playing soccer and runs half-marathon multiple times in the Bay Area of California.

PDF ISBN: 978-1-80181-721-9
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2022
Language: English
Pages: 284

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