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Source: DALL-E 3

What's this all about?

Hello everyone!

These are my solutions for the CS50's Introduction to Artificial Intelligence with Python course.
They are categorized in 7 weeks featuring the following severall units:

week-0 - Search: Depth-First Search, Breadth-First Search, A* Search, Adversarial Search
week-1 - Knowledge: Propositional Logic, First-Order Logic, Inference in Knowledge Bases
week-2 - Uncertainty: Probability Theory, Bayes' Rule, Bayesian Networks, Markov Models
week-3 - Optimization: Hill-Climbing, Simulated Annealing, Linear Programming
week-4 - Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Decision Trees
week-5 - Neural Networks: Perceptrons, Backpropagation, Convolutional Neural Networks
week-6 - Language: Natural Language Processing, Context-Free Grammars, Parsing Techniques, Language Models

Certificate

Finishing it got me a certificate at the Harvard University which can be seen here:
https://certificates.cs50.io/68fca6c4-932c-45af-ba5b-b492ea78ce20.png?size=letter

Repository structure

Includes: Projects solutions
Quizzes answers
Course info: https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python
Name: CS50's Introduction to Artificial Intelligence with Python
University: Harvard University
WWW: https://cs50.harvard.edu/ai/2020/

License

Distributed under the MIT License. See LICENSE for more information.

Feedback

Looking forward to your feedback and contributions! 🙌

Warning : before visiting this repo files, please read about CS50's Academic Honesty rules.