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cau-machine-learning-course

CAU Machine Learning Course Repository

This is the repository for official Machine Learning Course at Central Asian University.

Out materials based on free and open coursewares, including esteemed Girafe-AI foundation, MIT and Harvard University OpenCourseWare organizations.

Course layout

Week Topic Assignments Comments
01 Intro, Naive Bayes and kNN. Introduction to modern ML, overview of techniques, technologies. Naive Bayes approach. kNN Algorithm.
02 Linear algebra recap. Linear Regression. Losses and optimization. Linear Classification 1.
03 Linear Classification 2. Logistic regression.
04 Maximum Likelihood Estimation for Logistic regression. Pytorch. hw_1_knn Deadline 18th Oct. 23:59
05 Decision Trees. Low-level Pytorch.
06 Decision Trees Ensembles. High-level Pytorch

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