- Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019)

Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019)

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3nAk9O3

Topics: Linear classification, Loss minimization, Stochastic gradient descent
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford U...
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3nAk9O3

Topics: Linear classification, Loss minimization, Stochastic gradient descent
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University
http://onlinehub.stanford.edu/

Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percy-liang

Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsa-sadigh

To follow along with the course schedule and syllabus, visit:
https://stanford-cs221.github.io/autumn2019/#schedule

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#Stanford #Machine Learning #Linear Classifiers #Linear classification #Loss minimization #Stochastic gradient descent #Computer Science #Statistics #Stanford Online #CS #Computer Science Courses

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