Link to course: https://cs50.harvard.edu/ai/2024/
Course asked to use Python 3.11 for fully compatible with some Python modules used in that course. They offer a check50 tool to check code and submit50 tool to submit code.
Course week 0: Search Problems. Depth-First Search. Breadth-First Search. Greedy Best-First Search. A* Search. Minimax. Alpha-Beta Pruning.
Write a program that determines how many “degrees of separation” apart two actors are.
Details: https://cs50.harvard.edu/ai/2024/projects/0/degrees/
My solution: degrees directory
Using Minimax algorithm, implement an AI to play Tic-Tac-Toe optimally.
Details: https://cs50.harvard.edu/ai/2024/projects/0/tictactoe/
My solution: tic-tac-toe directory
Course week 1: Propositional Logic. Entailment. Inference. Model Checking. Resolution. First Order Logic.
Write a program to solve logic puzzles.
Details: https://cs50.harvard.edu/ai/2024/projects/1/knights/
My solution: knights directory
Write an AI to play Minesweeper.
Details: https://cs50.harvard.edu/ai/2024/projects/1/minesweeper/
My solution: minesweeper directory
Course week 2: Probability. Conditional Probability. Random Variables. Independence. Bayes’ Rule. Joint Probability. Bayesian Networks. Sampling. Markov Models. Hidden Markov Models.
Write an AI to rank web pages by importance.
Details: https://cs50.harvard.edu/ai/2024/projects/2/pagerank/
My solution: page rank directory
Write an AI to assess the likelihood that a person will have a particular genetic trait.
Details: https://cs50.harvard.edu/ai/2024/projects/2/heredity/
My solution: heredity directory
Course week 3: Local Search. Hill Climbing. Simulated Annealing. Linear Programming. Constraint Satisfaction. Backtracking Search.
Write an AI to generate crossword puzzles.
Details: https://cs50.harvard.edu/ai/2024/projects/3/crossword/
My solution: crossword directory
Course week 4: Supervised Learning. Nearest-Neighbor Classification. Perceptron Learning. Support Vector Machines. Regression. Loss Functions. Overfitting. Regularization. Reinforcement Learning. Markov Decision Processes. Q-Learning. Unsupervised Learning. k-means Clustering.
Write an AI to predict whether online shopping customers will complete a purchase.
Details: https://cs50.harvard.edu/ai/2024/projects/4/shopping/
My solution: shopping directory
Write an AI that teaches itself to play Nim through reinforcement learning.
Details: https://cs50.harvard.edu/ai/2024/projects/4/nim/
My solution: nim directory
Course week 5: Artificial Neural Networks. Activation Functions. Gradient Descent. Backpropagation. Overfitting. TensorFlow. Image Convolution. Convolutional Neural Networks. Recurrent Neural Networks.
Write an AI to identify which traffic sign appears in a photograph.
Details: https://cs50.harvard.edu/ai/2024/projects/5/traffic/
My solution: traffic directory
Course week 6: Syntax. Semantics. Context-Free Grammar. nltk. n-grams. Bag-of-Words Model. Naive Bayes. Word Representation. word2vec. Attention. Transformers.
Write an AI to parse sentences and extract noun phrases.
Details: https://cs50.harvard.edu/ai/2024/projects/6/parser/
My solution: parser directory
Write an AI to predict a masked word in a text sequence.
Details: https://cs50.harvard.edu/ai/2024/projects/6/attention/
My solution: attention directory