Machine learning seminar

Schedule

The seminar will take place on two consecutive afternoons:

• Wednesday, 6 Oct, 13:00 – 17:00 CET
• Thursday, 7 Oct, 13:00 – 17:00 CET

Content

Would you like to deepen your understanding of data analysis and machine learning? Are you interested in applications in R or Python? Then this book and coding seminar is the right activity for you.

In 2 sessions, we’ll discuss some of the the highlights of the popular book and lecture series Introduction to Statistical Learning , which covers:

• regression and classification
• model assessment and validation
• trees and random forests
• deep learning
• survival analysis
• principal component analysis
• clustering

Our materials

“Introduction to statistical learning” offers publicly available learning materials in the form of

• a book,
• youtube lectures for each chapter, and
• accompanying R and Python scripts,

which are a great resource for self-learning. The only thing the book can’t give you are external motivation and discussions with a group of peers 🙂

Format

Alternating presenters will discuss up to 6 topics from the book. We won’t be able to cover the whole book in 2 afternoons, so we’ll vote on the most interesting topics.
Before the seminar, you are free to watch the respective video lectures or read the chapter on your own pace, and we meet for code demo and discussion. For each topic, we roughly plan

• 30 min for reviewing the method
• 30 min for a demo in R or Python
• 30 min time for further discussions

If you join this seminar, please consider contributing. You may

• present a method (i.e. the content of a chapter or subchapter), or
• prepare a demonstration in R or python (you choose!) following the online scripts.

Contributions remain voluntary, to also allow those that don’t feel confident with presenting to join. However, we need a few presenters to make it happen.

If you book a slot, please also fill this survey indicate your availability for presenting.

Who is this seminar for

Anyone is welcome to join the book seminar, but it’s not a beginner’s course on coding or statistics. Some basic understanding of statistics and linear models will be useful to get the best out of it.

Location

EMBL Heidelberg

Organizers

• Sarah Kaspar
• Yuhong Liu
• Deborah Udoh

Note

We have limited space in the seminar, so please make sure that you can join for the full duration.

If you book a slot, please also fill this survey indicate your availability for presenting.