Data Science and Machine Learning Mathematical and Statistical Methods

         Data Science and Machine Learning Mathematical and Statistical Methods .

CONTENTS

 Preface xiii Notation xvii 1 Importing, Summarizing, and Visualizing Data 

1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 

1 1.2 Structuring Features According to Type . . . . . . . . . . . . . . . . . . 

3 1.3 Summary Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 

6 1.4 Summary Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 

7 1.5 Visualizing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

 8 1.5.1 Plotting Qualitative Variables . . . . . . . . . . . . . . . . . . . . 

9 1.5.2 Plotting Quantitative Variables . . . . . . . . . . . . . . . . . . . 

9 1.5.3 Data Visualization in a Bivariate Setting . . . . . . . . . . . . . . 

12 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 

15 2 Statistical Learning 19 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 

19 2.2 Supervised and Unsupervised Learning . . . . . . . . . . . . . . . . . . .

 20 2.3 Training and Test Loss . . . . . . . . . . . . . . . . . . . . . . . . . . . 

23 2.4 Tradeoffs in Statistical Learning . . . . . . . . . . . . . . . . . . . . . .

 31 2.5 Estimating Risk . . .