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1
Machine learning with R : expert techniques for predictive modeling / Brett Lantz.
Birmingham, UK : Packt Publishing Ltd., c2019
xiii, 437 p ; 30 cm.



2
Statistics for business & economics / David R. Anderson, ...
Boston, MA : Cengage, 2020
xxviii, 1119 p. [02 books] ; 30 cm.



3
Statistics for business and economics / Paul Newbold, William L. Carlson, Betty Thorne.
Harlow, Essex : Pearson Education, 2013
792 p. : ill. ; 29 cm.

This title enables students to conduct serious analysis of applied problems rather than running simple 'canned' applications. The text is at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

4
Statistics for business and economics : global edition / Paul Newbold, William L Carlson, Betty Thorne.
Boston : Prentice Hall, 2020.
796 p. : il., graf. ; 28 cm.

For courses in Business Communication. Technology and communication intersect to prepare students for the workplace Business Communication Today continually demonstrates the inherent connection between recent technological developments and modern business practices. Each new edition addresses the most essential changes in technology and how they impact the business world, while still covering timeless business skills such as listening, presenting, and writing. With a strong focus on mobile integration, the 14th Edition blends current topics, such as social media in business, with more trad.


5
The practice of statistics for business and economics / David S Moore, ...ect.
New York : W.H. Freeman, 2011
xliii, 787, [135] p. : ill. (chiefly color) ; 29 cm.

Modern businesses have to deal with a mass of data. What do these data tell us, and how can we use inferences from the data to make better business decisions? The Practice of Statistics for Business and Economics is designed to answer these questions by discussin data production and interpretation at the start of the book.