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OverviewFull Product DetailsAuthor: Dávid NatinggaPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited Edition: 2nd Revised edition ISBN: 9781789806076ISBN 10: 1789806070 Pages: 214 Publication Date: 31 October 2018 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Classification using K Nearest Neighbors Naive Bayes Decision Trees Random Forests Clustering into K clusters Regression Time Series Analysis Python Reference Statistics Glossary of Algorithms and Methods in Data ScienceReviewsAuthor InformationDávid Natingga graduated with a master's in engineering in 2014 from Imperial College London, specializing in artificial intelligence. In 2011, he worked at Infosys Labs in Bangalore, India, undertaking research into the optimization of machine learning algorithms. In 2012 and 2013, while at Palantir Technologies in USA, he developed algorithms for big data. In 2014, while working as a data scientist at Pact Coffee, London, he created an algorithm suggesting products based on the taste preferences of customers and the structures of the coffees. In order to use pure mathematics to advance the field of AI, he is a PhD candidate in Computability Theory at the University of Leeds, UK. In 2016, he spent 8 months at Japan's Advanced Institute of Science and Technology as a research visitor. Tab Content 6Author Website:Countries AvailableAll regions |
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