#9 Conditional | Joint | Marginal Probabilities Sum Rule & Product Rule Bayes' Theorem

Machine Learning for Engineering & Science Applications | IIT Madras - #9 Conditional | Joint | Marginal Probabilities Sum Rule & Product Rule Bayes' Theorem

Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!

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What you'll learn

Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.

This course includes

32 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Machine Learning for Engineering and Science Applications Prof. Ganapathy Prof.Balaji Srinivasan Online Course Video Lecture NPTEL Conditional - Joint - Marginal Probabilities Sum Rule and Product Rule Bayes' Theorem

Full Transcript

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture expands on probability theory, covering conditional, joint, and marginal probabilities. It explains the sum rule and the product rule, two fundamental rules governing probability calculations. Additionally, the lecture introduces Bayes' Theorem, a crucial concept for understanding conditional probabilities and its applications in various fields, including machine learning. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #ConditionalProbability #JointProbability #MarginalProbability #SumRule #ProductRule #BayesTheorem

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