Chapter 1: Gathering and Organizing Data -- Chapter 2: Matrices, Probability, and Statistics -- Chapter 3: Evaluation and Validation -- Chapter 4: Regression -- Chapter 5: Classification -- Chapter 6: Clustering -- Chapter 7: Time Series and Anomaly Detection -- Chapter 8: Neural Networks and Deep Learning -- Chapter 9: Deploying and Distributing Analyses and Models -- Appendix: Algorithms/Techniques Related to Machine Learning.
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