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5181 books were found.
This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable... Read More >>
This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC... Read More >>
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A practical guide on Machine learning with IBM cloud to act as a solid yet concise reference for the readers. You... Read More >>
This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5.... Read More >>
Explores new methods and techniques for achieving reliable and efficient communication in recent applications including... Read More >>
This book contains extended versions of the best papers presented at the 14th International Conference on Information... Read More >>
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine... Read More >>
This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively... Read More >>
Presents an overview of the main theoretical insights that support the practical effectiveness of OT before explaining... Read More >>
Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed... Read More >>
The book introduces novel Bayesian topic models for detection of events that are different from typical activities... Read More >>
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers... Read More >>
Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore... Read More >>