MLAPP-Solutions

Solutions and thoughts on Kevin Murphy's Machine Learning: a Probabilistic Perspective, fourth printing.

Directories

• tex: LaTeX source code and pdfs with solutions and comments to exercises.
• src: Implementations of models
• notebooks: Demos of models.

Installation

First, switch to Python 3.8 (I use pyenv):

pyenv shell 3.8.5

Install poetry[https://python-poetry.org] if it isn't present:

pip install poetry

Finally, create a virtual environment, install dependencies, and add the venv to the kernel:

python -m venv .venv
source .venv/bin/activate
poetry install
python -m ipykernel install --user --name=mlapp_solutions

Testing

Test can be run with

make tests

If you want more detailed coverage, use

make html