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OverviewFull Product DetailsAuthor: George Kyriakides , Konstantinos G. MargaritisPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781789612851ISBN 10: 1789612853 Pages: 298 Publication Date: 19 July 2019 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 A Machine Learning Refresher Getting Started with Ensemble Learning Voting Stacking Bagging Boosting Random Forests Clustering Classifying Fraudulent Transactions Predicting Bitcoin Prices Evaluating Twitters Sentiment Recommending Movies with Keras Clustering Application: World HappinessReviewsAuthor InformationGeorge Kyriakides is a Ph.D. researcher, studying distributed neural architecture search. His interests and experience include automated generation and optimization of predictive models for a wide array of applications, such as image recognition, time series analysis, and financial applications. He holds an M.Sc. in computational methods and applications, and a B.Sc. in applied informatics, both from the University of Macedonia, Thessaloniki, Greece. Konstantinos G. Margaritis has been a teacher and researcher in computer science for more than 30 years. His research interests include parallel and distributed computing as well as computational intelligence and machine learning. He holds an M.Eng. in electrical engineering (Aristotle University of Thessaloniki, Greece), as well as an M.Sc. and a Ph.D. in computer science (Loughborough University, UK). He is a professor at the Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece. Tab Content 6Author Website:Countries AvailableAll regions |
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