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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Jeff Heaton
Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Jeff Heaton
Marc Notes: Includes bibliographical references and index. Biographical Note: Jeff Heaton is an Informatics Scientist programmer specializing in Java, C#, Groovy, Scala, C/C++, SQL, R, and Octave. He is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include Data Science, Predictive Modeling, Data Mining, Big Data, Business Intelligence, and Artificial Intelligence. Jeff holds a Master's Degree in Information Management from Washington University and is a Senior Member of the IEEE, a Sun Certified Java Programmer, the lead developer for the Encog Machine Learning Framework open source project, and an Associate of Reinsurance Administration (ARA, LOMA). Contributor Bio: Heaton, Jeff Jeff Heaton is a data scientist, PhD student and indy publisher. Specializing in Java, C#, C/C++, Python and R, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University. He is also a senior member of the IEEE, a Sun-Certified Java Programmer, the lead developer for the Encog Machine Learning Framework open source project, and a fellow of the Life Management Institute (FLMI).
Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
Validé | 26 novembre 2013 |
ISBN13 | 9781493682225 |
Éditeurs | Createspace |
Pages | 194 |
Dimensions | 191 × 235 × 12 mm · 390 g |
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