### Abstract

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.

Original language | English (US) |
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Title of host publication | International Series in Operations Research and Management Science |

Publisher | Springer |

Pages | 187-213 |

Number of pages | 27 |

DOIs | |

State | Published - 2020 |

### Publication series

Name | International Series in Operations Research and Management Science |
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Volume | 285 |

ISSN (Print) | 0884-8289 |

ISSN (Electronic) | 2214-7934 |

### All Science Journal Classification (ASJC) codes

- Software
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Applied Mathematics

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## Cite this

Vanderbei, R. J. (2020). Data science applications. In

*International Series in Operations Research and Management Science*(pp. 187-213). (International Series in Operations Research and Management Science; Vol. 285). Springer. https://doi.org/10.1007/978-3-030-39415-8_12