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Introduction to Computational Thinking and Data...
Lecture 1: Introduction and Optimization Problems
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Description
Prof. Guttag provides an overview of the course and discusses how we use computational models to understand the world in which we live, in particular he discusses the knapsack problem and greedy algoriths.
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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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