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Mining of Massive Datasets
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Mining of Massive Datasets: 9781107015357: Computer ~ The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets.
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Mining of Massive Datasets / Guide books ~ The focus of the book is on data mining (on large datasets) as opposed to machine learning. The distinction may strike the reader as somewhat arbitrary, given the degree of interaction between these two fields, but the authors justify it in terms of a focus on algorithms that can be applied directly to data.
Data Mining (Chapter 1) - Mining of Massive Datasets ~ Mining of Massive Datasets - by Anand Rajaraman October 2011. In this intoductory chapter we begin with the essence of data mining and a discussion of how data mining is treated by the various disciplines that contribute to this field.
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Mining Massive Data Sets / Stanford Online ~ The rest of the course is devoted to algorithms for extracting models and information from large datasets. Participants will learn how Google's PageRank algorithm models importance of Web pages and some of the many extensions that have been used for a variety of purposes. . There is a free book "Mining of Massive Datasets, by Leskovec .
Mining of Massive Datasets by Jure Leskovec ~ This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically.
GitHub - tpdi/MMDS-001-Homework: Homework questions from ~ This is an iPython Notebook for the homework assignments in the Coursera class Mining Massive Datasets offered in conjunction with Stanford University and taught by Jure Leskovec, Anand Rajaraman, and Jeff Ullman. . Download As." to download the notebook as pure (uneditable) HTML. Download it to that files directory (so it finds relative .
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