Episode 14: Deep Medicine by Eric Topol (Part 2)

Topics discussed:

Machine learning (ML) models such as Neural Networks, Random Forest and eXtreme Gradient Boosting

Implications of Black Boxes

In-built biases in ML models

Public perception & debate on the existential threat of AI

Limitations of Natural Language Processing (NLP) (I.e. non-verbal communication)

Time stamps

0:47 - 1:07 Chapter 4 (The Skinny On Deep Learning)

01:07 - 16:13 Chapter 5 (Deep Liabilities)

19:11 - 23:03 Chapter 8 (Mental Health)

Sidetrack ~

21:31 Telegram Bot Automation