Cargando…

Machine Learning: an algorithmic perspective

Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the al...

Descripción completa

Detalles Bibliográficos
Autor principal: Marsland, Stephen
Lenguaje:eng
Publicado: CRC Press 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/1338551
_version_ 1780921879655088128
author Marsland, Stephen
author_facet Marsland, Stephen
author_sort Marsland, Stephen
collection CERN
description Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement le
id cern-1338551
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
publisher CRC Press
record_format invenio
spelling cern-13385512021-04-22T01:06:17Zhttp://cds.cern.ch/record/1338551engMarsland, StephenMachine Learning: an algorithmic perspectiveComputing and ComputersTraditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement leCRC Pressoai:cds.cern.ch:13385512009
spellingShingle Computing and Computers
Marsland, Stephen
Machine Learning: an algorithmic perspective
title Machine Learning: an algorithmic perspective
title_full Machine Learning: an algorithmic perspective
title_fullStr Machine Learning: an algorithmic perspective
title_full_unstemmed Machine Learning: an algorithmic perspective
title_short Machine Learning: an algorithmic perspective
title_sort machine learning: an algorithmic perspective
topic Computing and Computers
url http://cds.cern.ch/record/1338551
work_keys_str_mv AT marslandstephen machinelearninganalgorithmicperspective