Store besparelser
Hurtig levering
Fri fragt over 499,-
Gemte
Log ind
0
Kurv
Kurv
Machine Learning for Knowledge Discovery with R
- Methodologies for Modeling, Inference and Prediction
Engelsk
Bogcover for Machine Learning for Knowledge Discovery with R af Kao-Tai Tsai, 9781032071596
Specifikationer
Sprog:
Engelsk
Sider:
244
ISBN-13:
9781032071596
Indbinding:
Paperback
ISBN-10:
1032071591
Udg. Dato:
25 sep 2023
Størrelse i cm:
23,4 x 15,6
Oplagsdato:
25 sep 2023
Forfatter(e):

Machine Learning for Knowledge Discovery with R

- Methodologies for Modeling, Inference and Prediction
Engelsk
Paperback 2023
Format:

Bog beskrivelse

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein.

Key Features:

  • Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies.
  • Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.
  • Written by statistical data analysis practitioner for practitioners.

The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.

... Vis mere

Forlags Vejl. pris
9.321,40 kr
Hos Booktok
471 kr
spar 95%
Læg i kurv nu
Sikker betaling
23 - 25 hverdage

Specifikationer
Sprog:
Engelsk
Sider:
244
ISBN-13:
9781032071596
Indbinding:
Paperback
ISBN-10:
1032071591
Udg. Dato:
25 sep 2023
Størrelse i cm:
23,4 x 15,6
Oplagsdato:
25 sep 2023
Forfatter(e):
Finder produkter...
Kategori sammenhænge