Lecture 10 - Application of Bayes' Theorem





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Published on Apr 20, 2019

This is Lecture 10 of Machine Learning 101 - Application of Bayes' Theorem in Probability Theorem, Machine Learning and Data Science
Lecture Page: https://www.kindsonthegenius.com/2019...

Lecture 1 - Introduction to Machine Learning 101 Course: https://lnkd.in/dA9AMhR
Lecture 2 - Machine Learning Overview & Some Basic Terms: - https://lnkd.in/etaqdy5
Lecture 3 - Classes of Machine Learning Problems: https://lnkd.in/dbYidEm
Lecture 4 - Simple Linear Regression Problem: https://lnkd.in/dZe28Ji
Lecture 4a - The 3 Fundamental Theories of Machine Learning: https://bit.ly/2W6mG3u
Lecture 5 - Equation of a Regression Line: https://youtu.be/O0PNXhipbf4
Lecture 6 - Polynomial Curve Fitting: https://bit.ly/2Po1hQT
Lecture 7 - Underfitting & Overfitting - https://bit.ly/2W5jkxQ
Lecture 7a - Underfitting & Overfitting Python Demo - https://bit.ly/2Zmn1ky
Lecture 8 - Introduction to Probability Theory - https://bit.ly/2Zu4MtD
Lecture 9 - Laws of Probability - https://bit.ly/2XGVx7H
Lecture 9a - Bayes' Theorem - https://bit.ly/2DuIKO2
Lecture 10 - Application of Bayes' Theorem: https://bit.ly/2GCeHpJ
Lecture 10a - Prior and Posterior Probability: https://bit.ly/2W8BKOh
Lecture 11 - What is Probability Density: https://bit.ly/2ZvSAIU
Lecture 12 - Bias/Variance Trade-off: https://bit.ly/2ZutnOT

For all lessons, visit my site: https://www.kindsonthegenius.com

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Machine Learning 101 Course Page : https://www.kindsonthegenius.com/mach...
These are Machine Learning 101 Lectures, so you can read ahead of the next tutorial.


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