Machine Learning with Spark

Couverture
Packt Publishing, 20 févr. 2015 - 338 pages
If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. While it may be useful to have a basic understanding of Spark, no previous experience is required.

À propos de l'auteur (2015)

Nick Pentreath has a background in financial markets, machine learning, and software development. He has worked at Goldman Sachs Group, Inc.; as a research scientist at the online ad targeting start-up Cognitive Match Limited, London; and led the Data Science and Analytics team at Mxit, Africa's largest social network. He is a cofounder of Graphflow, a big data and machine learning company focused on user-centric recommendations and customer intelligence. He is passionate about combining commercial focus with machine learning and cutting-edge technology to build intelligent systems that learn from data to add value to the bottom line. Nick is a member of the Apache Spark Project Management Committee.

Informations bibliographiques

TitreMachine Learning with Spark
Community experience distilled
Open source community experience distilled
AuteurNick Pentreath
ÉditeurPackt Publishing, 2015
ISBN1783288523, 9781783288526
Longueur338 pages
  
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