EMBL Heidelberg, Room: 202
Organised by the Bio-IT Project
This two-day course, delivered by experts in programming for data analysis, will teach participants the principle of machine learning and its implementation in R using mlr package. The main goal of
mlr is to provide a unified interface for machine learning tasks as classification, regression, cluster analysis and survival analysis in R.
Sessions will be driven by many practical exercises and case studies. The schedule and course materials will be added here.
On June 11, 2018, 6:00 PM at EMBL Staff Lounge, an informal seminar event will be hosted (open for attendance by non-course-attendees also) where Prof. Bernd Bischl will give a short talk on OpenML project, followed by Beer and Pizza session. **Title TBA**.
This 2-day course will cover the following topics and sessions:
Sessions on Day-1
1. Introduction to Machine Learning, mlr, KNN, and its _application in a biological dataset_
2. Linear models, regression, regularization, and trees
3. Evaluation (train, test, ROC), and its _application to microbiome-based cancer detection_
4. Hands-on session: application on a new dataset (see the prerequisite #3)
Sessions on Day-2
5. Forests and boosting with a demo
6. Tuning and nested resampling with a demo
7. Interpretable machine learning and feature selection
8. Hands-on session: application on the dataset from Session-4
Optional: The participants can have a look at the mlr tutorial to gain a little head-start, but this will be covered in the lectures.
**This course is booked out.**
This course will be offered for free to all EMBL members.
The external participants will be charged with a course fee of 100 Euro. The invoice details will be shared via email.
The registration can be canceled for the free of charge until June 2, 2018.
The participants will be charged a cancellation fee (if canceled after June 2, 2018) or no-show fee of 50 Euros. The invoice details will be shared via email.