Course Progress:
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Section 1: Introduction & Foundations
Section 2: Problem Solving & Search
Section 3: Adversarial Search & Games
Section 4: Knowledge Representation
Section 5: Planning
Section 6: Uncertainty & Probabilistic Reasoning
Section 7: Making Decisions
Section 8: Machine Learning Fundamentals
Section 9: Supervised Learning
Section 10: Unsupervised Learning
Section 11: Neural Networks & Deep Learning
Section 12: Reinforcement Learning
Section 13: Natural Language Processing
Section 14: Computer Vision
Section 15: AI Ethics & Philosophy