Introduction to Information Retrieval, by Manning, Raghavan, and Schütze
A first encounter with machine learning by Welling
Gaussian processes for Machine Learning by C.E. Rasmussen
The Elements of Statistical Learning, by Hastie, Tibshirani, and Friedman
Introduction to Machine Learning by Smola, Vishwanathan
Think Bayes by Downey
Mining of Massive datasets by Rajamaran, Leskovic, and Ullman
Bayesian Reasoning and Machine Learning by D. Barber
Information Theory, Inference, and Learning Algorithms by D.Mackay
Foundations of Statistical Natural Language Processing by Manning and Schütze
Data Jujitsu by D.J. Patil
Building Data Science Teams by D.J. Patil
Network Science by A.-L. Barabasi.
Comments and new titles are more than welcome. I would like to collect this list for my students.