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Introduction to Computational Thinking and Data...
Lecture 9: Understanding Experimental Data
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Prof. Grimson talks about how to model experimental data in a way that gives a sense of the underlying mechanism and to predict behavior in new settings.
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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 14: Classification and Statistical Sins
Prof. Guttag finishes discussing classification and introduces common statistical fallacies and pitfalls.
Published 05/10/17
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