Bibliografía básica Marsland, Stephen (2014). Machine Learning: An Algorithmic Perspective. Chapman and Hall/CRC Press
Gonzalo Pajares Martínez, Jose Manuel de la Cruz García (2010). Aprendizaje automático : un enfoque práctico. Ra-Ma
Ethem Alpaydin (2014). Introduction to Machine Learning. MIT Press
Christopher M. Bishop (2010). Pattern Recognition and Machine Learning. Springer

  A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly):
Bibliografía complementaria Andreas C. Müller, Sarah Guido (2016). Introduction to Machine Learning with Python: A Guide for Data Scientists. O'Reilly Media
Sebastian Raschka, Vahid Mirjalili (2019). Python machine learning : aprendizaje automático y aprendizaje profundo con Python, scikit-learn y TensorFlow. Marcombo
Aurelien Geron (2017). Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media
Kevin P. Murphy (2010). Machine Learning, a probabilistic perspective. MIT Press