Quantitative Methods for Data Science: I - Introductory Applied Mathematics

by James Godfrey

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This reference book is intended for data scientists and presents introductory applied mathematics appropriate for understanding methodologies used in a variety of disciplines: statistics, engineering and the natural sciences, advanced computing, economics and finance, social media, advertising, climate analysis, healthcare and genetics, and other data-intensive areas. The presentation includes vector and matrix algebra, differential and integral calculus, complex variables, vector calculus, transforms, and ordinary and partial differential equations. The primary objective is to develop tools and techniques for understanding more advanced quantitative methods. The reader is provided an approach that is implementation-driven rather than theoretically-driven. The material is appropriate for college-level applied mathematics courses with an emphasis on data science.
  • ISBN10 1312079770
  • ISBN13 9781312079779
  • Publish Date 16 June 2014
  • Publish Status Active
  • Out of Print 28 October 2015
  • Publish Country US
  • Imprint Lulu.com
  • Format Paperback
  • Pages 300
  • Language English