Certificate for Data Science 2025

Random Forests and Deep Learning

The goal of these two days of the program is to give an introduction to two very important methods in Machine Learning:

• on Tuesday, Machine Learning, Decision Trees and Random Forests,
• on Wednesday, Deep Learning.

Lecturer

Aymeric Dieuleveut
Professor, CMAP, École Polytechnique

You will find below:

• the slides of the morning and afternoon sessions
• the links for Jupyter notebooks to run in Colab
• the links to run the examples given during the lectures.

Schedule

(breaks not indicated)

Supplementary material

• Code for the examples for the lecture on Machine Learning. Cross validation in ML - Lab
• Code for the examples for the lecture on Machine Learning. Cross validation in ML - Sol
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• Code for the examples for the lecture on Random Forests. Python Notebook on Iris Dataset - Lab
• Code for the examples for the lecture on Random Forests. Python Notebook on Iris Dataset

Using Colab

1. Log in using your Google account

2. Enable GPU support by changing the 'runtime type'

3. Introduction to Google Colab

This notebook covers the basic features of Google Colab.