Computational decision making in a nutshell

If you’re confused about machine learning, or can’t tell the difference between a ‘principal component’ and a ‘cluster’: This talk is for you!

Modern software is often based around complex computational decision making. But how do programs make decisions? Is artificial intelligence just a complicated series of if-statements? And how is regression different from classification? Is deep learning better than other methods, and how can you decide if a machine learning model is good in the first place?

Required audience experience: No specific knowledge required.

Objective of the talk: This talks aims to bring some structure in the lingo of machine learning experts and targets absolute beginners.

Keywords: machine learning, basics, AI, decision making, deep learning, models, pca, principal component, cluster

You can view Boris’ slides here:

Computational decision making from Boris Adryan

And his video here:

Track 2
Location: Date: October 9, 2017 Time: 11:40 am - 12:25 pm Boris Adryan, Merck Boris Adryan