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Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning.

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Presentation on theme: "Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning."— Presentation transcript:

1 Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning

2 Number of Variables Analyzed Week 1234567 6+ 5 4 3 2 1 Regression Correlation

3 Number of Variables / Observations A few variables vs. many variables A few observations vs. a ton of variables

4 Few Yes No Many Time Series Number of Variables PEW Mobile Phone Galton Children Height Census Text Sentiment Old Faithful Web Analytics Titanic Survivors Bank Loans Stock Market

5 Principle Components Analysis

6 People Variables Cluster Analysis

7 Linear Regression

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10 Compare and Contrast

11 Tom Brady Not Tom Brady Machine Learning

12 Excel

13 R and Data Mining

14 Intermediate Book We will use the front part of chapters that are more conceptual, along with some of the case studies.


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