TEACHING 

Lecturing Carnegie Mellon University, Pittsburgh
  • 2024 Spring:
    		•  Convex Optimization (10725)
  • 2023 Fall:
    		•  Convex Optimization (10725)
  • 2023 Spring:
    		•  ML with Large Datasets (10405-10605)
    (with Geoff Gordon)
  • 2022 Fall:
    		•  Introduction to Machine Learning (10-315)
  • 2022 Spring:
    		•  Scalability in Machine Learning (10-745)
  • 2019 Fall:
    		•  Scalability in Machine Learning (10-745)
  • 2019 Spring:
    		•  Machine Learning with Large Datasets (10-405, 10-605)
  • 2018 Fall:
    		•  Machine Learning with Large Datasets (10-605, 10-805)
  • 2018 Spring:
    		•  Art and Machine Learning (60411, 10-615)
    (with Eunsu Kang)
  • 2017 Fall:
    		•  Advanced Introduction to Machine Learning (10-715)
    (with Ziv Bar-Joseph)
  • 2017 Spring:
    		•  Introduction to Machine Learning (10-401)
  • 2016 Fall:
    		•  Advanced Introduction to Machine Learning (10-715)
  • 2016 Spring:
    		•  Introduction to Machine Learning (10-401)
    (with Aarti Singh)
  • 2015 Fall:
    		•  Advanced Introduction to Machine Learning (10-715)
    (with Alex Smola)
  • 2014 Fall:
    		•  Advanced Introduction to Machine Learning (10-715)
    (with Eric Xing)
  • 2014 Spring:
    		•  Introduction to Machine Learning (10-701)
    (with Aarti Singh)
  • 2013 Fall:
    		•  Convex Optimization (10-725/36-725)
    (with Ryan Tibshirani)
  • 2013 Spring:
    		•  Introduction to Machine Learning (10-701)
    (with Alex Smola)

    University of Alberta, Edmonton, Canada
  • Introduction to Machine Learning (CMPUT 466/551) (PDF)

    • Eötvös Loránd University, Budapest, Hungary
  • Introduction to Artificial Neural Networks (PDF)
  • Speech Processing (PDF)
  • Image Processing (PDF)
  • Artificial Intelligence and its Applications (PDF)
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