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CS50AI-problem-sets - CS50AI

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.

Assignments for CS50 AI 2020

To complete the following psets, I studied all of the CS50AIs lectures, sections, and shorts on edX. All pset submissions received scores of 100% from the CS50x gradebook.

psets:

Week 0

Search

Week 1

Knowledge

Week 2

Uncertainty

Week 3

Optimization

Week 4

Learning

Week 5

Neural Networks

Week 6

Language

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