Please follow the “Day 0 Basic Setup” chapter from the lab guide to install all the requirements and clone the Github repository for the lxmls exercises.

Once you clone the project, switch to student branch and please try to run and complete all the exercises for day 0 using Jupyter notebook. On completing this exercise, you will learn to use Jupyter notebook, basic Python and some important algorithms like Gradient descent/ascent algorithms which is used for optimization in machine learning algorithms. Also, if anyone wants to be familiar with python, please refer to the Introduction to Python, covered during the first day of the school. The guide covers basic python, numpy and matplotlib.

Other resources:
Slides: http://lxmls.it.pt/2016/?page_id=64