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5037 books were found.
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates... Read More >>
This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including... Read More >>
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence... Read More >>
This book features best selected research papers presented at the International Conference on Machine Learning,... Read More >>
This second edition textbook covers a coherently organized framework for text analytics, which integrates material... Read More >>
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning... Read More >>
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that... Read More >>
In the big data era, increasing information can be extracted from the same source object or scene. For instance,... Read More >>
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools... Read More >>
The architecture profession is changing. Practices must stay abreast of new developments in AI or risk being left... Read More >>
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Explores the Positive and Unlabeled learning (PU learning) problem in depth. The book rigorously defines the PU... Read More >>
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting... Read More >>
This book discusses various machine learning applications and models, developed using heterogeneous data, which... Read More >>
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along... Read More >>
Explore the cosmic secrets of Distributed Processing for Deep Learning applications KEY FEATURES In-depth... Read More >>
Continue reading if you want to learn more about Data Science and how to master it using the Python Programming... Read More >>
This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in... Read More >>
this section discusses how CS via GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration... Read More >>
RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book.... Read More >>
This text explores a diverse set of data science topics through a mathematical lens, helping mathematicians become... Read More >>