Python for Probability, Statistics, and Machine Learning

This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas.  The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple methods and codes thereby connecting theoretical concepts to concrete implementations. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, and machine learning and with rudimentary knowledge of Python programming.