Reza Bosagh Zadeh

Reza Bosagh Zadeh

Machine Learning at Matroid and Stanford

Areas of Expertise:

  • Machine Learning
  • distributed computing
  • discrete applied mathematics
Reza Bosagh Zadeh is Founder CEO at Matroid and Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford University under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks. As part of his research, Reza built the Machine Learning Algorithms behind Twitter's who-to-follow system, the first product to use Machine Learning at Twitter. Reza is the initial creator of the Linear Algebra Package in Apache Spark and his work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhD-level classes at Stanford: Distributed Algorithms and Optimization (CME 323), and Discrete Mathematics and Algorithms (CME 305).

TensorFlow for Deep Learning TensorFlow for Deep Learning
by Bharath Ramsundar, Reza Bosagh Zadeh
March 2018
Print: $69.99
Ebook: $59.99

Deep Learning with TensorFlow Deep Learning with TensorFlow
by Bharath Ramsundar, Reza Bosagh Zadeh
June 2016
Video: $129.99