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This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including... Læs mere
Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture... Læs mere
The text comprehensively discusses computational models including artificial neural networks, agent-based... Læs mere
This book discusses Big Data, Cloud Computing, and IoT, with a focus on the benefits and implementation problems. In addition, it examines the... Læs mere
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and... Læs mere
This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their... Læs mere
This book is designed as a textbook and provides a comprehensive approach to SQL - the standard programming language for defining, organizing,... Læs mere
This book demonstrates how optimization techniques can solve hospital analytics problems. It covers advanced heuristic,... Læs mere
The book intends to discuss the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solution/s for the same.
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents... Læs mere
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time space trade-off, symptotic notations and so forth.
The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care... Læs mere