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