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

By Brian Steele,John Chandler,Swarna Reddy

This textbook on sensible information analytics unites basic ideas, algorithms, and information. Algorithms are the keystone of information analytics and the focus of this textbook. transparent and intuitive causes of the mathematical and statistical foundations make the algorithms obvious. yet sensible facts analytics calls for greater than simply the principles. difficulties and knowledge are vastly variable and simply the main common of algorithms can be utilized with out amendment. Programming fluency and event with actual and hard info is imperative and so the reader is immersed in Python and R and genuine information research. via the tip of the publication, the reader could have received the facility to evolve algorithms to new difficulties and perform leading edge analyses.
This ebook has 3 parts:
(a) information relief: starts off with the suggestions of knowledge aid, info maps, and data extraction. the second one bankruptcy introduces associative data, the mathematical beginning of scalable algorithms and allotted computing. functional elements of allotted computing is the topic of the Hadoop and MapReduce chapter.
(b) Extracting info from information: Linear regression and knowledge visualization are the central themes of half II. The authors devote a bankruptcy to the severe area of Healthcare Analytics for a longer instance of functional facts analytics. The algorithms and analytics should be of a lot curiosity to practitioners drawn to using the big and unwieldly info units of the facilities for affliction regulate and Prevention's Behavioral probability issue Surveillance System.
(c) Predictive Analytics foundational and universal algorithms, k-nearest pals and naive Bayes, are constructed intimately. A bankruptcy is devoted to forecasting. The final bankruptcy makes a speciality of streaming info and makes use of publicly obtainable information streams originating from the Twitter API and the NASDAQ inventory industry within the tutorials.
This booklet is meant for a one- or two-semester path in info analytics for upper-division undergraduate and graduate scholars in arithmetic, data, and machine technological know-how. the must haves are stored low, and scholars with one or classes in likelihood or information, an publicity to vectors and matrices, and a programming path could have no hassle. The center fabric of each bankruptcy is offered to all with those necessities. The chapters frequently extend on the shut with ideas of curiosity to practitioners of knowledge technological know-how. each one bankruptcy comprises routines of various degrees of hassle. The textual content is eminently appropriate for self-study and a superb source for practitioners.

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

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