In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.
Overview
Syllabus
Learning To See [Part 1: Introduction].
Learning To See [Part 2: Rules on Rules on Rules].
Learning To See [Part 3: Now I R1].
Learning to See [Part 4: Machine Learning].
Learning to See [Part 5: To Learn is to Generalize].
Learning To See [Part 6: It's Definitely Time to Play with Legos].
Learning to See [Part 7: There is no f].
Learning to See [Part 8: More Assumptions...Fewer Problems?].
Learning To See [Part 9: Bias Variance Throwdown].
Learning to See [Part 10: World Domination].
Learning to See [Part 11: Haystacks on Haystacks].
Learning To See [Part 12: Let's Get Greedy].
Learning To See [Part 13: Heuristics].
Learning To See [Part 14: Better Heuristics].
Learning To See [Part 15: Information].
Taught by
Welch Labs
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