Asset Details
Do you wish to reserve the book?
Causal Inference and Discovery in Python - Machine Learning and Pearlian Perspective - Unlock the Secrets of Modern Causal Machine Learning with DoWhy, EconML, PyTorch and More
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Causal Inference and Discovery in Python - Machine Learning and Pearlian Perspective - Unlock the Secrets of Modern Causal Machine Learning with DoWhy, EconML, PyTorch and More
Do you wish to request the book?
Causal Inference and Discovery in Python - Machine Learning and Pearlian Perspective - Unlock the Secrets of Modern Causal Machine Learning with DoWhy, EconML, PyTorch and More
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
eBook
Causal Inference and Discovery in Python - Machine Learning and Pearlian Perspective - Unlock the Secrets of Modern Causal Machine Learning with DoWhy, EconML, PyTorch and More
2023
Overview
The book focuses on using machine learning techniques to uncover cause-and-effect relationships in data, moving beyond mere correlations. From a Pearlian perspective, this involves utilizing causal diagrams (DAGs) and do-calculus to formalize causal reasoning.
Publisher
Packt Publishing
Subject
ISBN
9781804612989, 1804612987
