Recommended Reading

Recommended Reading

Strategy, Management, Process, and Surveys

Thomas H. Davenport and Jeanne G. Harris, Competing on Analytics: The New Science of Winning (Harvard Business School 2007)

Thomas H. Davenport and Jeanne G. Harris, Analytics at Work: Smarter Decisions, Better Results (Harvard Business School 2010)

Thomas C. Redman, Data Driven: Profiting from your Most Important Business Asset (2008)

Toby Segaran and Jeff Hammerbacher, Beautiful Data: The Stories Behind Elegant Data Solutions (O’Reilly 2009)

Ian H. Witten et/al, Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition (Elsevier 2011)

Nisbet et/al, Handbook of Statistical Analysis and Data Mining Applications (Elsevier 2009)

James P. Womack et/al, The Machine that Changed the World: The Story of Lean Production (Harper Perennial 1991)


David Barber, Bayesian Reasoning and Machine Learning (Cambridge 2012)

Daphne Koller and Nir Friedman, Probabilistic Graphical Models: Principles and Techniques (MIT 2009)

William M. Bolstad, Understanding Computational Bayesian Statistics (Wiley 2010)

Peter D. Congdon, Applied Bayesian Hierarchical Methods (Taylor & Francis 2010)

Gerda Claeskens and Nils Lid Hjort, Model Selection and Model Averaging (Cambridge 2008)

Kenneth P. Burnham and David R. Anderson, Model Selection and Multimodal Inference: A Practical Information-Theoretic Approach (Springer 2002)

Robert E. Schapire and Yoav Freund, Boosting: Foundations and Algorithms (MIT 2012)

John Shawe-Taylor and Nello Cristianini, Kernel Methods for Pattern Analysis (Cambridge 2004)

Bernhard Schikopf, Alexander J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (MIT 2002)

Noel Cressie and Christopher K. Wikie, Statistics for Spatio-Temporal Data (Wiley 2011)

Jean-Paul Chiles and Pierre Delfiner, Geostatistics: Modeling Spatial Uncertainty, 2nd Edition (Wiley, 2012)

Suvrit Sra and Sebastian Nowozin, Optimization for Machine Learning (MIT 2012)

Stephen Boyd and Lieven Vandenberghe, Convex Optimization (Cambridge 2004)