Data Science and Machine Learning : Mathematical and Statistical Methods, Second Edition (Hardcover, 2 ed)

Preface Notation 1 Importing, Summarizing, and Visualizing Data 2 Statistical Learning 3 Monte Carlo Methods 4 Unsupervised Learning 5 Regression 6 Feature Selection and Shrinkage 7 Reproducing Kernel Methods 8 Classification 9 Decision Trees and Ensemble Methods 10 Deep Learning 11 Reinforcement Learning A Linear Algebra B Functional Analysis C Multivariate Differentiation and Optimization D Probability and Statistics E Python Primer Bibliography Index