More talks in the program:
09:00 - 17:00
Machine learning is often hyped, but how does it work? In this workshop, Pieter Buteneers will show you hands-on how you can build your own machine learning models. We will cover basic machine learning concepts such as regression, classification, over-fitting, cross-validation, and many more. After the workshop, you will go home with the basics of machine learning so you can start off on your own projects.
Content & Process
- The basics of Jupyter notebooks and processing data in Python
- The basic concepts of linear regression
- Non-linear regression
- Time series prediction
- Recommender systems
- Anomaly detection
Audience & Requirements
Anybody who can write some code in whatever programming language should be able to follow the workshop. We make use of an iPython/Jupyter Notebook running on a dedicated server, so nothing but a laptop with an internet connection is required to participate.