Machine Learning

Integrating brain science, cognitive psychology, education and information technology, the books studies how technology has promoted deeper learnin...

Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificia...

MemComputing is a new computing paradigm that employs time non-locality (memory) to both process and store information. This book, written by the o...

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analy...

Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with ...

Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with ...

WINNER: Independent Press Awards 2023 - Category: Technology AI presents a new paradigm in software development, representing the biggest change t...

Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificia...

Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal infere...

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, th...

What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of mac...

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, th...

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user...

What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of mac...

Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with m...

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a...

Based on the author’s experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the...

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R librariesKey Features ...

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers o...

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncer...