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Bykhovsky
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Courses
Machine Learning
Graduate Machine Learning
Python (TA)
Random Processes
Machine learning course, 2026
This page is used for course information and materials.
The complementary Moodle page is used for course communication and submissions.
Subject to changes and updates during the course.
Materials
Note, to be updated during the course.
Lecture notes
Recommended AI tools
Meetings and Recordings
Supplementary materials & visualizations
Gradient Descent
Machine Learning University (MLU)
materials
(partial list):
Linear regression
Bias-Variance tradeoff
Classification:
Logistic regression
Precision & Recall
RoC and AUC
Previous exams
Midterm 2024
Midterm 2025