|
|
|
books
| book details |
Machine Learning for Causal Inference
Edited by Sheng Li, Edited by Zhixuan Chu
|
| on special |
normal price: R 7,172.95
Price: R 6,813.95
|
| book description |
This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference, which include basic definitions, illustrative examples, and assumptions. It then delves into the different types of classical causal inference methods, such as matching, weighting, tree-based models, and more. Additionally, the book explores how machine learning can be used for causal effect estimation based on representation learning and graph learning. The contribution of causal inference in creating trustworthy machine learning systems to accomplish diversity, non-discrimination and fairness, transparency and explainability, generalization and robustness, and more is also discussed. The book also provides practical applications of causal inference in various domains such as natural language processing, recommender systems, computer vision, time series forecasting, and continual learning. Each chapter of the book is written by leading researchers in their respective fields. Machine Learning for Causal Inference explores the challenges associated with the relationship between machine learning and causal inference, such as biased estimates of causal effects, untrustworthy models, and complicated applications in other artificial intelligence domains. However, it also presents potential solutions to these issues. The book is a valuable resource for researchers, teachers, practitioners, and students interested in these fields. It provides insights into how combining machine learning and causal inference can improve the system's capability to accomplish causal artificial intelligence based on data. The book showcases promising research directions and emphasizes the importance of understanding the causal relationship to construct different machine-learning models from data.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 26 Nov 2023
Language |
Format | Hardback
Pages | 298
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0313-5050-4
Readership Age |
BISAC |
| other options |
|
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
Our moment has seen the resurgence of an anarchist sensibility, from the uprisings in Seattle in 1999 to the Occupy movement of 2011.
|
|
André Alexis
Paperback / softback
176 pages
was: R 280.95
now: R 252.95
|
A pack of dogs are granted the power of human thought - but what will it do to them? A surprising and insightful look at the beauty and perils of consciousness.
|
|
Carl Morrow
Paperback / softback
160 pages
was: R 320.95
now: R 288.95
|
In this uniquely Southern African book, Carl Morrow and Keith Kirsten guide readers step by step into the magical realms of bonsai as a hobby, horticultural practice and art form.
|
|
|
|
