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Introduction to Computational Thinking and Data...
Lecture 14: Classification and Statistical Sins
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Prof. Guttag finishes discussing classification and introduces common statistical fallacies and pitfalls.
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Introduction to Computational Thinking and Data Science
Published 05/10/17
Lecture 15: Statistical Sins and Wrap Up
Prof. Guttag continues the conversation about statistical fallacies and summarizes the take-aways of the course.
Published 05/10/17
Lecture 13: Classification
Prof. Guttag introduces supervised learning with nearest neighbor classification using feature scaling and decision trees.
Published 05/10/17
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