CS50’s Fundamentals of AI
წელს ჰარვარდს ახალი კურსია აქვს. თანაც ხელოვნურ ინტელექტზე. თქვენ კი კვლავ ლაივ რეჟიმში შეგიძლიათ დაესწროთ
ნახეთ შეხვედრების გრაფიკი და ბმულები
Schedule
Syllabus
- Lecture 0: Playing
- Exploring how AI can play games: Minimax, Monte Carlo Tree Search, reinforcement learning
- Lecture 1: Predicting
- Exploring how AI can make predictions based on data: regression, classification, neural networks
- Lecture 2: Analyzing
- Exploring how AI can find patterns in data: clustering, association rule learning, recommender systems
- Lecture 3: Sensing
- Exploring how AI can interpret sensory data like images and sounds: edge detection, convolutional neural networks, deep learning
- Lecture 4: Communicating
- Exploring how AI can process and respond to natural language: embeddings, attention, transformers
- Lecture 5: Generating
- Exploring how AI can generate text, images, and sounds: retrieval-augmented generation, autoencoders, diffusion models
- Lecture 6: Moving
- Exploring how AI can interact with the physical world: motion planning, localization and mapping, object detection
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