... 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 ...

In this dissertation, a variety of perspectives on policy learning are presented, each taking a slightly different lens to the problem.

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 ...

... Sammut , C. , Webb , G.I. ( eds . ) Encyclopedia of Machine Learning , pp . 382-383 . Springer , Boston ( 2011 ) ... Gradient - based learning applied to document recognition . Proc . IEEE 86 , 2278-2324 ( 1998 ) 20. Lee , H. , Ge ...

... 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 ...

Mind and matter.

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.