davidrosenberg/mlcourse
A university-level machine learning course with lecture slides, notes, and materials on algorithms including SVMs, logistic regression, and the EM algorithm.
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This repository contains course materials for DS-GA 1003: Machine Learning and Computational Statistics, offered at NYU. It includes lecture slides, supplementary notes, and educational content covering supervised and unsupervised learning methods, regularization techniques, and probabilistic models.
Frequently asked
- What is davidrosenberg/mlcourse?
- A university-level machine learning course with lecture slides, notes, and materials on algorithms including SVMs, logistic regression, and the EM algorithm.
- Is mlcourse open source?
- Yes — davidrosenberg/mlcourse is an open-source project tracked on heatdrop.
- What language is mlcourse written in?
- davidrosenberg/mlcourse is primarily written in Jupyter Notebook.
- How popular is mlcourse?
- davidrosenberg/mlcourse has 581 stars on GitHub.
- Where can I find mlcourse?
- davidrosenberg/mlcourse is on GitHub at https://github.com/davidrosenberg/mlcourse.