Pragmatic Machine Learning with Python

An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations Key Features A balanced combination of underlying mathematical theories & practical examples with Python code Coverage of latest topics like multi-label classification, Text Mining, Doc2Vec, Word2Vec, XMeans clustering, unsupervised outlier detection, techniques to deploy ML models in production-grade systems with PMML, etc Coverage of sufficient & relevant visualization techniques sp