Machine Learning

Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superinte...

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of...

This book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, predictio...

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to to...

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introdu...

This book, for the first time, collects important current topics in the area of sign language translation in a single volume. The topic is introduc...

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arun...

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series for...

Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability...

The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market d...

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computin...

This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on the Oxford Academic platfo...

This book is designed for undergraduates, postgraduates and professionals who want to have a firm grip on the fundamental principles of AI and ML.A...

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting cha...

DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the...

The scope of Artificial Intelligence's (AI) hold on modern life is only just beginning to be fully understood. Academics, professionals, policymake...

The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelli...

The juxtaposition of 'machine learning' and 'pure mathematics and theoretical physics' may first appear as contradictory in terms. The rigours of p...

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to to...

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been...

Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressin...

Deep learning from the ground up using R and the powerful Keras library! In   Deep Learning with R, Second Edition  you will learn: ...

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industr...

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed...

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate cours...

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Wri...

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, ...