Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Bayesian Networks for Causal Reasoning - Lecture 1

International Centre for Theoretical Sciences via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the fundamentals of Bayesian Networks for causal reasoning in this lecture from the Machine Learning for Health and Disease program. Delve into the first part of Tavpritesh Sethi's presentation, which introduces key concepts and applications of Bayesian Networks in healthcare and biomedical research. Learn how these powerful probabilistic models can be used to infer causal relationships from data, aiding in decision-making processes and understanding complex health-related phenomena. Gain insights into the intersection of machine learning, statistics, and clinical practice as part of a comprehensive program designed to bridge the gap between computational modeling and real-world healthcare challenges.

Syllabus

Bayesian Networks for Causal Reasoning (Lecture 1) by Tavpritesh Sethi

Taught by

International Centre for Theoretical Sciences

Reviews

Start your review of Bayesian Networks for Causal Reasoning - Lecture 1

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.