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Machine Learning Course Materials

This repository contains the course materials for ML1 (Introduction to Machine Learning) and ML2 (Advanced Machine Learning Concepts).

Project Structure

.
├── ml1/                    # Introduction to Machine Learning
│   └── lecture01/         # First lecture
│       └── textbook.md    # Lecture content in markdown
├── ml2/                    # Advanced Machine Learning
│   └── lecture01/         # First lecture
│       └── textbook.md    # Lecture content in markdown
├── output/                 # Generated PDFs (created by script)
├── generate_pdfs.py       # PDF generation script
└── requirements.txt       # Python dependencies

Setup

  1. Install Python dependencies:
pip install -r requirements.txt
  1. Install system dependencies:

Usage

To generate PDFs from markdown files:

python generate_pdfs.py

This will:

  1. Check for required dependencies
  2. Process all markdown files in ml1/ and ml2/
  3. Generate PDFs in the output/ directory
  4. Maintain course structure in output

Features

  • Parallel processing for faster PDF generation
  • Table of contents generation
  • Math equation support
  • Code syntax highlighting
  • Consistent styling across documents
  • Orange accent colors for links

Course Structure

ML1: Introduction to Machine Learning

  • Fundamental concepts
  • Basic mathematical foundations
  • Simple model implementations

ML2: Advanced Machine Learning

  • Advanced architectures
  • Modern training techniques
  • State-of-the-art implementations

Contributing

To add new lectures:

  1. Create a new directory: mlX/lectureXX/
  2. Add markdown content in textbook.md
  3. Run the PDF generation script