TY - CHAP
T1 - Data science applications
AU - Vanderbei, Robert J.
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - In this chapter, we shall study a few applications of linear programming to an area of statistics called regression and to an area of machine learning called support vector machines. As a specific example for our study of regression, we shall use size and iteration-count data collected from a standard suite of linear programming problems to derive a regression estimate of the number of iterations needed to solve problems of a given size.
AB - In this chapter, we shall study a few applications of linear programming to an area of statistics called regression and to an area of machine learning called support vector machines. As a specific example for our study of regression, we shall use size and iteration-count data collected from a standard suite of linear programming problems to derive a regression estimate of the number of iterations needed to solve problems of a given size.
UR - http://www.scopus.com/inward/record.url?scp=85090000383&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090000383&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39415-8_12
DO - 10.1007/978-3-030-39415-8_12
M3 - Chapter
AN - SCOPUS:85090000383
T3 - International Series in Operations Research and Management Science
SP - 187
EP - 213
BT - International Series in Operations Research and Management Science
PB - Springer
ER -