Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning.
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Main Themes •Few vs. Many Variables •Linear vs. Non-Linear •Statistics vs. Machine Learning
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Number of Variables / Observations A few variables vs. many variables A few observations vs. a ton of variables
Transcript of Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning.
Main Themes
• Few vs. Many Variables• Linear vs. Non-Linear• Statistics vs. Machine Learning
Number of VariablesAnalyzed
Week
1 2 3 4 5 6 7
6+
5
4
3
2
1
Regression
Correlation
Number of Variables / Observations
• A few variables vs. many variables• A few observations vs. a ton of variables
Few
YesNo
Many
Time Series
Num
ber o
f Var
iabl
es PEW Mobile Phone
Galton Children HeightCensus
Text Sentiment
Old Faithful
Web Analytics
Titanic Survivors
Bank Loans
Stock Market
Principle Components Analysis
Peop
le
Variables
Cluster Analysis
LinearRegression
Compare and Contrast
Tom BradyNot Tom Brady
Machine Learning
Excel
R and Data Mining
Intermediate BookWe will use the front part of chapters that are more conceptual, along with some of the case studies.
