Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Causal Discovery: Foundations, Algorithms and Applications (Computer Science Foundations and Applied Logic)
Type
Physical Book
Publisher
Author
Language
English
Pages
250
Format
Hardcover
ISBN13
9783031983443

Causal Discovery: Foundations, Algorithms and Applications (Computer Science Foundations and Applied Logic)

Luis Enrique Sucar (Author) · Birkhauser · Hardcover

Causal Discovery: Foundations, Algorithms and Applications (Computer Science Foundations and Applied Logic) - Luis Enrique Sucar

Cheaper New Book Imported to Netherlands
Delivery: 11 Sep - 18 Sep Shipping: 17 to 21 business days.
€ 90,57
Faster New Book Imported to Netherlands
Delivery: 07 Sep - 10 Sep Shipping: 13 to 15 business days.
€ 92,27
Import costs and 9% BTW included in the price ✅
€ 90,57

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Causal Discovery: Foundations, Algorithms and Applications (Computer Science Foundations and Applied Logic)"

This book presents an overview of causal discovery, an emergent field with important developments in the last few years, and multiple applications in several fields. The book is divided into three parts. The first part provides the necessary background on causal graphical models and causal reasoning. The second describes the main algorithms and techniques for causal discovery: (a) causal discovery from observational data, (b) causal discovery from interventional data, (c) causal discovery from temporal data, and (d) causal reinforcement learning. The third part provides several examples of causal discovery in practice, including applications in biomedicine, social sciences, artificial intelligence and robotics. Topics and features: Covers the main types of causal discovery: learning from observational data, learning from interventional data, and learning from temporal data This book can be used as a textbook for an advanced undergraduate or a graduate course on causal discovery for students of computer science, engineering, social sciences, etc. It can also be used as a complement to a course on causality, together with another text on causal reasoning. It could also serve as a reference book for professionals that want to apply causal models in different areas, or anyone who is interested in knowing the basis of these techniques. The intended audience are students and professionals in computer science, statistics and engineering who want to know the principles of causal discovery and / or applied them in different domains. It could also be of interest to students and professionals in other areas who want to apply causal discovery, for instance in medicine and economics.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews