pyprobml

Python 3 code for my new book series Probabilistic Machine Learning. This is work in progress, so expect rough edges. Getting less rough…

Jupyter notebooks

For each chapter there are one or more accompanying Jupyter notebooks that cover some of the material in more detail.

When you open a notebook, there will be a button at the top that says ‘Open in colab’. If you click on this, it will start a virtual machine (VM) instance on Google Cloud Platform (GCP), running Colab. This has most of the libraries you will need (e.g., scikit-learn, JAX) pre-installed, and gives you access to a free GPU. See this tutorial for details on how to use Colab.

Book 1 (PML: An Introduction)

See this link for a list of notebooks.

Book 2 (PML: Advanced topics)

See this link for a list of notebooks.

#machine learning #pytorch #tensorflow #jupyter notebooks #python code for machine learning: a probabilistic perspective #python code for machine learning