Markov Models: Master Data Science and Unsupervised Machine Learning in Python

Bayes Theorem: A Visual Introduction For Beginners

Probability With Permutations and Combinations: The Classic Equations, Better Explained

Machine Learning With Random Forests And Decision Trees: A Mostly Intuitive Guide, But Also Some Python

Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python)

Machine Learning: The New AI (The MIT Press Essential Knowledge series)

Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis

Introduction to Machine Learning with Python: A Guide for Data Scientists

Deep Learning: Natural Language Processing in Python with Recursive Neural Networks: Recursive Neural (Tensor) Networks in Theano (Deep Learning and Natural Language Processing Book 3)

Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)

Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)