On June 17th and 18th, Nicholas Guttenberg and Lana Sinapayen of ELSI, in collaboration with Suzana Ilic from Machine Learning Tokyo organised a 2-day Machine Learning (ML) bootcamp for beginners. The bootcamp was open to all the ELSI researchers. Day 1 of the bootcamp focused on introducing concepts in general, especially for those who do not have a strong programming background. Day 2 was focused on hands-on work. 

Videos of all the sessions are available on ELSI Youtube at: https://www.youtube.com/playlist?list=PLgCfQ_4nJyOiTxwrdL7-99erwUMC2dAFg 

Programme schedule:

Day 1
10:00 Machine Learning vocabulary, scope, and examples
11:30 Lunch
13:00 Project management for ML teams
14:30 Critical Thinking and ML
15:00 Break
15:30 Coding: ML concepts applied to the Iris Dataset
17:00 End of Day 1

Day 2
10:00 Intro to Deep Learning: Data, Convolutional Neural Nets, Recurrent Neural Nets
12:00 Lunch
13:30 Classification with a CNN
15:00 Break
15:30 Free Experimentation Time
16:30 Wrap up, discussion about next workshop