Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-ml
🤖 Machine learning resources that were useful to me
https://github.com/hclimente/awesome-ml
- The essence of linear algebra
- Visual Information Theory
- Stanford CS231n: Convolutional Neural Networks for Visual Recognition
- Notes on optimal transport
- A primer on optimal transport
- The Definitive Glossary of Higher Mathematical Jargon
- Mathematics roadmap
- Awesome Machine Learning and AI Courses
- ML resources
- MIT 18.06: Linear Algebra
- A 2020 Vision of Linear Algebra
- MIT 18.065: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
- Linear algebra 101
- A Geometrical Understanding of Matrices
- This is what matrices (and matrix manipulation) really look like
- **Dot Product**: Equivalence of Definitions
- **Singular Value Decomposition** as Simply as Possible
- Everything you did and didn't know about **PCA**
- Singular Value Decomposition Part 1: Perspectives on Linear Algebra
- Homomorphisms
- A Graphical Introduction to **Lattices**
- Viewing Matrices & Probability as **Graphs**
- Key concepts in measure theory
- Common statistical tests are linear models (or: how to teach stats)
- Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
- Asymptotic Behaviour of Estimators
- **Manifolds**: A Gentle Introduction
- The **Matrix Calculus** You Need For Deep Learning
Programming Languages