On 11 & 12 March, the eScience Center is organising a two-day workshop on the basics of machine learning using Python. This workshop will take place in Amsterdam and is intended for researchers who have basic knowledge of Python programming.

Machine learning is the field devoted to methods and algorithms that ‘learn’ from data. It can be applied to a vast range of different domains, from linguistics to physics and from medical imaging to history.

This workshop covers the basics of machine learning in a practical and hands-on manner, so that upon completion, you will be able to train your first machine learning models and understand what next steps to take to improve them.

The course aims to be accessible without a strong technical background. This course is for you if:

• You have basic knowledge of Python programming : defining variables, writing functions, importing modules. Some prior experience with the NumPy, pandas and Matplotlib libraries is recommended but not required.
• You want to learn how to setup a full machine learning pipeline in Python for various machine learning tasks.
• You want to get an intuition of basic machine learning concepts, such as train-test data splits, model training and evaluation, different machine learning algorithms, overfitting/underfitting, bias-variance trade-off.

More information on the programme and the registration process can be found on the eScience Center website.