Can I read Algorithms for Data Science on EtoBox?

Algorithms for Data Science by Chandler, John; Reddy, Swarna; Steele, Brian is a nonfiction available to read on EtoBox.

What is Algorithms for Data Science about?

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts : (a) Data Reduction : Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter. (b) Extracting Information from Data : Linear regression and data visua

Who reads Algorithms for Data Science?

Author

Chandler, John; Reddy, Swarna; Steele, Brian

Publisher

Springer International Publishing : Imprint : Springer

Published

2016

Language

EN

ISBN

9783319457970

Category

nonfiction

Subjects

Medical, Mathematics, Science