[New] (Elements of Causal Inference) BY Jonas Peters
- Elements of Causal Inference
- Jonas Peters
- 18 October 2019
Jonas Peters ô 4 characters
Jonas Peters ô 4 characters Elements of Causal Inference Read & Download Á PDF, DOC, TXT or eBook A concise and self contained introduction to causal inference increasingly important in data science and machine learningThe 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 the need for causal models and discussing some of the principles underlying causal inference the book teaches.
Free read Æ PDF, DOC, TXT or eBook ô Jonas Peters
Jonas Peters ô 4 characters Elements of Causal Inference Read & Download Á PDF, DOC, TXT or eBook Readers how to use causal models how to compute intervention distributions how to infer causal models from observational and interventional data and how causal ideas could be exploited for classical machine learning problems All of these topics are discussed first in terms of two variables and then in the general multivariate case The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for sol.Read Elements of Causal Inference
Jonas Peters ô 4 characters Elements of Causal Inference Read & Download Á PDF, DOC, TXT or eBook Ving multivariate cases The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive and they report on their decade of intensive research into this problemThe book is accessible to readers with a background in machine learning or statistics and can be used in graduate courses or as a reference for researchers The text includes code snippets that can be copied and pasted exercises and an appendix with a summary of the most important technical concepts.