March 21, 2018

Download e-book for iPad: Algorithms for Data Science by Brian Steele,John Chandler,Swarna Reddy

By Brian Steele,John Chandler,Swarna Reddy

ISBN-10: 3319457950

ISBN-13: 9783319457956

This textbook on useful facts analytics unites primary ideas, algorithms, and knowledge. Algorithms are the keystone of information analytics and the focus of this textbook. transparent and intuitive factors of the mathematical and statistical foundations make the algorithms obvious. yet useful facts analytics calls for greater than simply the principles. difficulties and knowledge are greatly variable and merely the main user-friendly of algorithms can be utilized with no amendment. Programming fluency and event with genuine and demanding facts is integral and so the reader is immersed in Python and R and actual facts research. by way of the tip of the publication, the reader could have won the power to conform algorithms to new difficulties and perform cutting edge analyses.
This booklet has 3 parts:
(a) facts aid: starts off with the suggestions of knowledge relief, info maps, and knowledge extraction. the second one bankruptcy introduces associative statistics, the mathematical origin of scalable algorithms and dispensed computing. useful points of allotted computing is the topic of the Hadoop and MapReduce chapter.
(b) Extracting info from information: Linear regression and knowledge visualization are the imperative themes of half II. The authors commit a bankruptcy to the severe area of Healthcare Analytics for a longer instance of useful information analytics. The algorithms and analytics might be of a lot curiosity to practitioners drawn to using the massive and unwieldly info units of the facilities for disorder keep an eye on and Prevention's Behavioral threat issue Surveillance System.
(c) Predictive Analytics foundational and normal algorithms, k-nearest acquaintances and naive Bayes, are constructed intimately. A bankruptcy is devoted to forecasting. The final bankruptcy specializes in streaming information and makes use of publicly obtainable info streams originating from the Twitter API and the NASDAQ inventory industry within the tutorials.
This e-book is meant for a one- or two-semester direction in information analytics for upper-division undergraduate and graduate scholars in arithmetic, facts, and computing device technology. the necessities are stored low, and scholars with one or classes in likelihood or data, an publicity to vectors and matrices, and a programming path could have no trouble. The center fabric of each bankruptcy is on the market to all with those necessities. The chapters usually extend on the shut with techniques of curiosity to practitioners of information technological know-how. every one bankruptcy comprises workouts of various degrees of hassle. The textual content is eminently compatible for self-study and a good source for practitioners.

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Algorithms for Data Science by Brian Steele,John Chandler,Swarna Reddy


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