Introduction xxiii
Chapter 1 What Is Data Science? 1
Chapter 2 Mathematics and Statistical Methods 25
Chapter 3 Data Collection and Storage 63
Chapter 4 Data Exploration and Analysis 97
Chapter 5 Data Processing and Preparation 131
Chapter 6 Modeling and Evaluation 167
Chapter 7 Model Validation and Deployment 195
Chapter 8 Unsupervised Machine Learning 225
Chapter 9 Supervised Machine Learning 249
Chapter 10 Neural Networks and Deep Learning 271
Chapter 11 Natural Language Processing 293
Chapter 12 Specialized Applications of Data Science 315
Appendix Answers to Review Questions 337
Chapter 1: What Is Data Science? 338
Chapter 2: Mathematics and Statistical Methods 339
Chapter 3: Data Collection and Storage 341
Chapter 4: Data Exploration and Analysis 343
Chapter 5: Data Processing and Preparation 345
Chapter 6: Modeling and Evaluation 346
Chapter 7: Model Validation and Deployment 347
Chapter 8: Unsupervised Machine Learning 349
Chapter 9: Supervised Machine Learning 350
Chapter 10: Neural Networks and Deep Learning 352
Chapter 11: Natural Language Processing 353
Chapter 12: Specialized Applications of Data Science 355
Index 357