Data Science Summer Reading List 2016

The Master Algorithm: How the Quest for the Ultimate Learning Machi... by Pedro Domingos Superforecasting: The Art and Science of Prediction by Philip E. Tetloc Fundamentals of Machine Learning for Predictive Data Analytics: Alg... by John D. Kelleher Machine Learning: The Art and Science of Algorithms that Make Sense... by Peter Flach Machine Learning: A Bayesian and Optimization Perspective by Sergios Theodoridis Machine Learning for Evolution Strategies by Oliver Kramer Essential Algorithms: A Practical Approach to Computer Algorithms by Rod Stephens How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg Assessing and Improving Prediction and Classification by Timothy Masters All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman The Elements of Statistical Learning: Data Mining, Inference, and P... by Trevor Hastie Causal Inference in Statistics: A Primer by Judea Pearl