Trainer Sven Degroeve
BITS Courses TRAINING AT VIB

Goal

This one-day workshop aims at transforming your keen interest into the workings of machine learning algorithms into practical knowledge on how to build accurate predictive models, mainly focussed on classification models.

Summary

Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest.

Prerequisites

Models are build in the Python programming language​.

Schedule

See the TRAINING AT VIB website for a detailed schedule of this training.

Training material

Not available

Links

Not available

Scientific topics Machine learning
Target audience Life Science Researchers, PhD students, post-docs, beginner bioinformaticians