https://github.com/sweetpand/ml_math_stat_prob

ml_math_stat_prob
https://github.com/sweetpand/ml_math_stat_prob

Last synced: 3 months ago
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ml_math_stat_prob

• Host: GitHub
• URL: https://github.com/sweetpand/ml_math_stat_prob
• Owner: sweetpand
• License: mit
• Created: 2020-04-09T12:55:13.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-04-09T13:17:41.000Z (about 5 years ago)
• Last Synced: 2025-01-10T01:52:49.399Z (5 months ago)
• Language: Jupyter Notebook
• Size: 211 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ML-Math

This repository is part of our MLT Math Reading Sessions. It’s based on “Mathematics For Machine Learning” by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, to be published by Cambridge University Press. https://mml-book.github.io/

Join us for remote [ML Math Reading Sessions](https://machinelearningtokyo.com/2019/11/28/ml-math-reading-sessions/), held bi-weekly. Sundays (PST, EST, GMT, CET, IST) and Mondays (APAC).

## Part I: Mathematical Foundations

- Introduction and Motivation

- Linear Algebra

- Analytic Geometry

- Matrix Decompositions

- Vector Calculus

- Probability and Distribution

- Continuous Optimization

## Part II: Central Machine Learning Problems

- When Models Meet Data

- Linear Regression

- Dimensionality Reduction with Principal Component Analysis

- Density Estimation with Gaussian Mixture Models

- Classification with Support Vector Machines