Dear members of DBIOL and DGESS,
we are pleased to announce a two day course to introduce members of DBIOL and DGESS to the field of machine learning.
The course will take place on 6th and 7th of May 2019 in HG D 12.
The course targets members of DBIOL and DGESS who have no experience in machine learning.
Description
Our goals are:
- to provide a robust understanding of the basic concepts of machine learning, especially classification.
- to introduce these concepts using as little math as possible.
- to teach how to use Python for machine learning, especially the libraries scikit-learn and keras.
This course is not:
- a comprehensive introduction into the field,
- focused on deep learning,
- an introduction to Python for general data science.
Requirements
This course might be right for you if you can answer the following questions with yes:
- I have a basic understanding of Python
- I have no working experience with machine learning
- I am a member of DBIOL or DGESS
Preliminary course layout
Monday, May 6th
- General Introduction
- Concepts of Classification
- Overfitting and cross-validation
- How to assess the quality of a classifier
Tuesday, May 7th
- Overview over important classification algorithms
- Concepts of Regression
- Processing-pipelines and hyperparameter optimization with scikit-learn
- Introduction to neural networks and deep learning with keras
Organizational aspects
The course will take place on 6th and 7th of May 2019 in HG D 12 and is limited to 25 participants.
We start at 9:30 and expect to end around 17:30 on both days.
The course room is equipped with prepared computers.
To apply for the course please fill out this form
Your tutors will be:
- Dr. Mikolaj Rybinski
- Dr. Tarun Chadha
- Dr. Uwe Schmitt
For further questions don’t hesitate to contact Tarun Chadha or Uwe Schmitt.
Kind Regards
Uwe Schmitt
———————-
uwe.schmitt@id.ethz.ch
Scientific IT Services
ETH Zurich
https://sis.id.ethz.ch
https://twitter.com/eth_sis