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Uncertainty – Lecture 2 – CS50’s…

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Uncertainty – Lecture 2 – CS50's Introduction to Artificial Intelligence with Python 2020
00:00:00 – Introduction
00:00:15 – Uncertainty
00:04:52 – Probability
00:09:37 – Conditional Probability
00:17:19 – Random Variables
00:26:28 – Bayes’ Rule
00:34:01 – Joint Probability
00:40:13 – Probability Rules
00:49:42 – Bayesian Networks
01:21:00 – Sampling
01:32:58 – Markov Models
01:44:17 – Hidden Markov Models

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Introduction – CS50's Introduction to Artificial Intelligence with Python 2020

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This is CS50, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming.

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HOW TO SUBSCRIBE

CS50
This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. Demanding, but definitely doable...

HOW TO TAKE CS50

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HOW TO FOLLOW DAVID J. MALAN

Facebook: https://www.facebook.com/dmalan
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CS50 SHOP

CS50 Shop
This is CS50's official shop for swag.

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LICENSE

CC BY-NC-SA 4.0
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
https://creativecommons.org/licenses/by-nc-sa/4.0/

David J. Malan
https://cs.harvard.edu/malan
malan@harvard.edu



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