Optimization for data analysis

Optimization for data analysis

by Wright, Stephen J.

Type Book
Rate 0.0 /5

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in da…

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :Optimization for data analysis / Stephen J. Wright, Benjamin Recht.

Summary

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.

Read More ↓

Edition Statements

  • Publication Date:2022

Publication Statements

Notes

Title from publisher's bibliographic system (viewed on 01 Apr 2022).

The Physical Object

  • Description:1 online resource (x, 227 pages) : PDF file(s).

Edition Identifiers

  • ISBN:9781009004282, 100900428X, 9781316518984, 1316518981
  • DOI:10.1017/9781009004282
  • oclc:on1312582908
  • Dewey Decimal:005.7

Subjects

artificial intelligence Big data Données volumineuses Intelligence artificielle Mathematical optimization Optimisation mathématique Quantitative research Recherche quantitative

Writers

Wright, Stephen J. Recht, Benjamin

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

  • Optimization for Data Analysis -- (.pdf)

    PDF · 3.8 MB · updated
    Login →