Learn how Machine Learning algorithms work

Do you want to understand the mathematics behind the Machine Learning? Our partner Celia Lozano Grijalba shares a link to a Github project that helps to understand how ML algorithms work.

First of all, if you want to know more about Machine Learning we recommend you this news: What is Machine Learning?.

Regarding the Github project, it discusses the implementation of different ML algorithms from scratch in Python 3.

Celia explains a top find: the Github project to help understand the mathematics behind different Machine Learning algorithms, as well as why they work or not depending on the data used. The author started it in order to explain for a Linear Regression how different gradients changed, but the project gradually grew. Later, he also wanted to visualise the training process in order to have a better intuition of what exactly happens during the training process. Over time, more algorithms and visualisations have been added.

In the following link you can find out more about Machine Learning algorithms:

https://github.com/Gautam-J/Machine-Learning

Author: Celia Lozano GrijalbaTech Lead Data Scientist at Bosonit.