... Sammut C. and G. I. Webb (eds.). Encyclopedia of Machine Learning. Boston, MA: Springer US, 2010. Kaelbling, L.P., M.L. Littman and A.W. Moore. Reinforcement learning: A survey. J. Artif. Int. Res., 4(1): 237–285, 1996. Karafotias, G ...

Most of the entries in this preeminent work include useful literature references.

... (eds.): Encyclopedia of Big Data (2021). ISBN 9783-319-32009-0 4. Brennen, A.: What do people really want when they say they want ¡°explainable AI?¡± We asked 60 stakeholders. In: Extended Abstracts of the 2020 CHI Conference on Human ...

... G., Brownsword, R.: State-of-the-art Methods and software tools for short-term prediction of wind energy production ... C.-Y.: The long-term forecast of Taiwan's energy supply and demand: LEAP model application. Energy Policy 39 ...

This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.

This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design.

This book presents a comprehensive overview and analysis of mangrove ecological processes, structure, and function at the local, biogeographic, and global scales and how these properties interact to provide key ecosystem services to society ...

"This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . .

This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.