Harvard University’s course in artificial intelligence with Python.
Gained hands-on experience in:
- Search algorithms (BFS, DFS, A*, etc.)
- Knowledge representation and logic
- Probability and Bayesian networks
- Machine learning and supervised learning
- Reinforcement learning
- Natural language processing (NLP) and attention models
- Neural networks and deep learning
- Python programming and AI libraries
Including projects demonstrating practical AI applications, such as game-playing AI, puzzle solvers, predictive models, and image recognition.
Show credential (cs50.harvard.edu)
