Advanced Machine Learning

Notes and solutions for the Advanced Machine Learning course.

Author: Kyle Nathan Yahya

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🚀 Setup & Installation

1. Python Environment

This project manages dependencies using conda and invoke.

1. Install Conda: Download and install Miniconda or Anaconda.
2. Install invoke:

   pip install invoke
   

3. Create the environment:

   invoke create-env

   You can also specify the path:

   invoke create-env --path <FOLDER_PATH>

4. Install dependencies:

   invoke install

   Note: This automatically installs packages from requirements.txt and requirements_project.txt.

2. LaTeX Setup (for Notes)

To edit and compile the LaTeX notes (notes/main.tex) in VS Code, follow these steps:

Step 1: Install TeX Live

You need a TeX distribution to compile .tex files.

• Windows: Download TeX Live (install-tl-windows.exe).
  • Tip: The full installation is large (~5GB+). You can choose a smaller scheme if you only need basic functionality, but "Full" is safest.
• Mac: Install MacTeX.
• Linux: sudo apt install texlive-full (or equivalent).

Step 2: Install VS Code Extension

Install the LaTeX Workshop extension by James Yu.

• Open VS Code Extensions (Ctrl+Shift+X).
• Search for LaTeX Workshop.
• Click Install.

Step 3: Usage

• Open notes/main.tex.
• The extension should automatically build the PDF on save (configured in .vscode/settings.json).
• View the PDF by clicking the "View LaTeX PDF" icon in the top right or pressing Ctrl+Alt+V.
• Formatting: The project is configured to use latexindent. You can format the document using Shift+Alt+F.

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📂 Project Structure

• notes/: LaTeX notes and weekly summaries.
• tasks.py: Automation scripts.
• requirements.txt: Basic Python dependencies.
• requirements_project.txt: Course Specific Python dependencies.