https://github.com/jmaczan/ml-math

Mathematics for machine learning - notes, proofs and code
https://github.com/jmaczan/ml-math

convolutional-neural-networks linear-algebra machine-learning machine-learning-mathematics math mathematics multivariate-analysis neural-networks notes optimization probability-theory statistics

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Mathematics for machine learning - notes, proofs and code

• Host: GitHub
• URL: https://github.com/jmaczan/ml-math
• Owner: jmaczan
• Created: 2024-04-11T10:09:22.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-31T07:38:46.000Z (3 months ago)
• Last Synced: 2024-07-31T23:56:52.249Z (3 months ago)
• Topics: convolutional-neural-networks, linear-algebra, machine-learning, machine-learning-mathematics, math, mathematics, multivariate-analysis, neural-networks, notes, optimization, probability-theory, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 1.22 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ml-math

Notes from Tivadar Danka's "Mathematics of Machine Learning" and Sheldon Axler's "Linear Algebra Done Right"

### Setup

#### Prerequisities

- Python >= 3.10

- Anaconda >= 23.3.1

### Installation

```

conda install --file requirements.txt

```