fa25-cs540 cs540
Lecture 6: Machine Learning Overview Lecture 6: Machine Learning Overview
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What is Machine Learning?
Key Insight
Taxonomy of Machine Learning
Supervised Learning
Data Representation
Examples of Data Representation
Two Types of Supervised Learning
Classification
Regression
Training Objective
Unsupervised Learning
Clustering
Clustering Applications
Self-Supervised Learning
Applications
Word Embeddings
Next-Word Prediction for LLMs
Image Inpainting
Reinforcement Learning
Key Problems
Applications
Key Takeaways
Suggested Reading