In addition to books at the JRD Tata Memorial Library, the department also has books in-house. These books are available at Room 403, Room 404 or the office (Room 103). The list below is incomplete and will be updated.

Book titleAuthorsPublisherRoom
The Nature of Statistical Learning TheoryVladimir VapnikSpringer403/404
Godel, Escher, Bach: an Eternal Golden BraidDouglas HofstadterBasic Books403/404
Computational Complexity, a modern approachSanjeev Arora, Boaz BarakCambridge403/404
Matrix AnalysisRoger A. Horn, Charles R. JohnsonCambridge403/404
Elements of Information TheoryJoy A. Thomas, Thomas M. CoverWiley-Blackwell403/404
Understanding Machine Learning: From Theory to AlgorithmsShai Shalev-Shwartz, Shai Ben-DavidCambridge403/404
Introduction to Algorithms, Third EditionThomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford SteinMIT403/404
Topics in Matrix AnalysisRoger A. Horn, Charles R. JohnsonCambridge403/404
Linear and Non Linear Programming, 3rd editionDavid G. LuenbergerSpringer403/404
A first course in Probability, 9th editionSheldon RossPearson403/404
Algorithm DesignJon Kleinberg and Eva TardosPearson403/404
Statistical Methods in BiologyNorman T. J. BaileyCambridge403/404
Multivariate Data AnalysisJoseph F. Hair, William C. Black, Barry J. Babin, Rolph E. AndersonPearson403/404
Randomized AlgorithmsRajeev Motwani and Prabhakar RaghavanCambridge403/404
Boosting: Foundations and Algorithms Robert E. Schapire, Yoav FreundMIT403/404
Calculus on ManifoldsMichael SpivakPerseus Books403/404
The Elements Statistical Learning, 2nd editionJerome H. Friedman, Robert Tibshirani, Trevor HastieSpringer403/404