Clojure for Machine Learning

Table of Contents

Preface
Chapter 1: Working with Matrices
Chapter 2: Understanding Linear Regression
Chapter 3: Categorizing Data
Chapter 4: Building Neural Networks
Chapter 5: Selecting and Evaluating Data

Chapter 6: Building Support Vector Machines
Chapter 7: Clustering Data
Chapter 8: Anomaly Detection and Recommendation 
Chapter 9: Large-scale Machine Learning
Appendix: References
Index
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