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Author: Admin | 2025-04-28
It develops everything from basic reasoning to advanced techniques within the framework of graphical models.Languages: RData Mining and Machine LearningData Mining Algorithms In RWikibooks, 20144.3 (15 Ratings)Data Mining and Machine LearningData Mining and Analysis: Fundamental Concepts and AlgorithmsMohammed J. Zaki & Wagner Meria Jr., 2014The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers many more cutting-edge data mining topics.3.9 (159 Ratings)Data Mining and Machine LearningData Mining: Practical Machine Learning Tools and TechniquesIan H. Witten & Eibe Frank, 2005Offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations.Languages: R4.1 (37 Ratings)Data Mining and Machine LearningData Mining with Rattle and RGraham Williams, 2011This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built.Data Mining and Machine LearningDeep LearningYoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.4.2 (88 Ratings)Data Mining and Machine LearningGaussian Processes for Machine LearningC. E. Rasmussen & C. K. I. Williams, 2006A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.4.5 (427 Ratings)Data Mining and Machine LearningInformation Theory, Inference, and Learning AlgorithmsDavid J.C. MacKay, 2005"Essential reading for students of electrical engineering and computer science; also a great heads-up for mathematics students concerning the subtlety of many commonsense questions." ChoiceData Mining and Machine LearningIntroduction to Machine LearningAmnon Shashua, 2008Data Mining and Machine LearningIntroduction to Machine LearningAlex Smola & S.V.N. Vishwanathan, 2008Data Mining and Machine LearningKB – Neural Data Mining with Python SourcesRoberto Bello, 2013Data Mining and Machine LearningMachine LearningAbdelhamid Mellouk & Abdennacer Chebira2.9 (1 Ratings)Data Mining and Machine LearningMachine Learning, Neural and Statistical ClassificationD. Michie, D.J. Spiegelhalter, & C.C. Taylor, 1999Data Mining and Machine LearningMachine Learning – The Complete GuideWikipedia4.4 (25 Ratings)Data Mining and Machine LearningMining of Massive DatasetsJure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond.Data Mining and Machine LearningModeling With DataBen Klemens, 2008Modeling with Data offers a useful blend of data-driven statistical methods and nuts-and-bolts guidance on implementing those methods. --Pat Hall, founder of Translation CreationData Mining and Machine LearningNeural Networks and Deep LearningMichael Nielsen, 2015Neural networks and deep learning currently provide the best solutions to many problems
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