Dimension reduction: From modelling to visualization

We are hosting a series online AI tech talks .
This is one of webinar series, you can listen, watch, Q&A with speakers from anywhere around the world.
Sign up here: https://learn.xnextcon.com/event/eventdetails/W19020810

Details:

In this webinar, you will learn the concept of dimension reduction and how to use PCA, t-SNE and UMAP as 3 widely used dimension reduction methods. The focus of the webinar is helping you to understand the assumptions and intuition behind each dimension reduction approaches (mainly ) and how to use Python to implement these methods for feature selection or visualization.

Speaker: Ali Madani (Currently a Ph.D. candidate at the University of Toronto working on the development of new machine learning models to predict cancer patients' responses to drugs)

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