Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
  • General Material Designation
    See More
  • Location
  • Language
Found 1 from your keywords: subject="Computers / Programmi...
cover
Elements of Causal Inference
Comment Share
SCHOLKOPF, Bemhard

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining th…

Edition
-
ISBN/ISSN
9780262037310
Collation
-
Series Title
-
Call Number
-