Foundations of Data Science
Avrim Blum, John Hopcroft, Ravi Kannan

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks.

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Measure and Integration
S. Kesavan

This book deals with topics usually studied in a masters or graduate level course on the theory of measure and integration.

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Stochastic Games and Related Concepts
T Parthasarathy & Sujatha Babu

This set of lecture notes is based on a series of ten lectures given by Professor T. Parthasarathy at Chennai Mathematical Institute....

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The Mathematics of India: Concepts, Methods, Connections
P. P. Divakaran

In the millennia-long story of the mathematical tradition of India, certain exceptionally fruitful periods stand out. This book identifies three of them:...

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Topology and Condensed Matter Physics
Topology and Condensed Matter Physics
Somendra M. Bhattacharjee, Mahan Mj.and Abhijit Bandyopadhyay (Editors)

This book introduces aspects of topology and their applications to problems in condensed matter physics. Basic topics in mathematics have been introduced...

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Open Quantum Systems: Dynamics of Nonclassical Evolution
Subhashish Banerjee

Current developments in quantum computing have made it essential to consider the role of the ambient environment in the functioning of a quantum system.

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