https://github.com/crodriguez1a/ml-curriculum
A personal collection of ML notes and resources
https://github.com/crodriguez1a/ml-curriculum
curriculum deep-learning machine-learning probability-theory reinforcement-learning
Last synced: 8 months ago
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A personal collection of ML notes and resources
- Host: GitHub
- URL: https://github.com/crodriguez1a/ml-curriculum
- Owner: crodriguez1a
- License: mit
- Created: 2019-08-16T18:30:49.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-05T11:42:32.000Z (over 5 years ago)
- Last Synced: 2025-01-05T06:42:41.038Z (9 months ago)
- Topics: curriculum, deep-learning, machine-learning, probability-theory, reinforcement-learning
- Homepage:
- Size: 813 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ml-curriculum
A collection of notes and resources
## Foundations
- [ ] [Computer-Aided Multivariate Analysis (Fourth Edition) - Afifi, Clark and May](multivariate_analysis/chapters)
- [ ] [An Introduction to Statistical Learning with Applications in R - James, Witten, Hastle, Tibshirani](#)
## Deep Learning
- [ ] [Deep Learning (Adaptive Computation and Machine Learning Series) - Goodfellow, Bengio, Courville](deep_learning/chapters)
## Reinforcement Learning
- [ ] [Reinforcement Learning: An Introduction - Sutton, Barto](#)
## How to use this reference:
These notes are a **subjective** paraphrasing of the concepts covered in each chapter respectively. Notes should not be considered comprehensive by any definition, and simply aim to serve as a referential (and searchable) summary of the source material.
Direct quotes will often be included and especially when terms are initially defined.
> Direct quotes will appear as html `blockquotes` like this one
*NOTE: Some chapters and/sections are considered more supplemental than critical to understanding the concepts and are intentionally not summarized or summarized more succinctly.*