£96.65

Springer Cause Effect Pairs in Machine Learning (The Springer Series on Challenges in Machine Learning)

Price data checked 1 day ago

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£97 today · previous high £97 · all-time low £96

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey
↓ Forecast
where the price is heading next
↓ Statistics
all-time high & low, recent range
↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 90 days • 90 data points

Historical
Generating forecast...
£96.65 £96.32 £96.39 £96.46 £96.54 £96.61 £96.68 18 February 2026 12 March 2026 03 April 2026 25 April 2026 18 May 2026

Price Distribution

Price distribution over 90 days • 1 price levels

Days at Price
90 days 0 23 45 68 90 £97 Days at Price

Price Analysis

Most common price: £97 (90 days, 100.0%)

Price range: £97 - £97

Price levels: 1 different prices over 90 days

Description

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website. Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 November 2019
Listed Since
30 April 2019

Barcode

No barcode data available

Similar Products You Might Like

Machine Learning in Medicine - a Complete Overview
79% match

Machine Learning in Medicine - a Complete Overview

Springer

£66.52 18 May 2026
Machine Learning in Complex Networks
79% match

Machine Learning in Complex Networks

Springer

£107.98 17 May 2026
Machine Learning for Causal Inference
79% match

Machine Learning for Causal Inference

Springer

£114.06 18 May 2026
Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)
78% match

Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

Springer

£80.64 16 May 2026
Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics
78% match

Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics

Springer

£109.24 04 May 2026
Causation, Prediction, and Search: 81 (Lecture Notes in Statistics, 81)
78% match

Causation, Prediction, and Search: 81 (Lecture Notes in Statistics, 81)

Springer

£93.13 18 May 2026
Computational Intelligence Techniques in Earth and Environmental Sciences
78% match

Computational Intelligence Techniques in Earth and Environmental Sciences

Springer

£76.38 18 May 2026
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods (Advances in Computer Vision and Pattern Recognition)
77% match

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods (Advances in Computer Vision and Pattern Recognition)

Springer

£87.24 18 May 2026
Computational Learning and Probabilistic Reasoning
77% match

Computational Learning and Probabilistic Reasoning

Wiley

£229.67 17 May 2026
Statistical Causal Inferences and Their Applications in Public Health Research (ICSA Book Series in Statistics)
77% match

Statistical Causal Inferences and Their Applications in Public Health Research (ICSA Book Series in Statistics)

Springer

£65.98 18 May 2026
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
77% match

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Springer

£105.03 04 May 2026
Abductive Inference Models for Diagnostic Problem-Solving (Symbolic Computation)
77% match

Abductive Inference Models for Diagnostic Problem-Solving (Symbolic Computation)

Springer

£77.31 18 May 2026
Neural Networks and Statistical Learning
77% match

Neural Networks and Statistical Learning

Springer

£70.28 18 May 2026
Machine Learning Algorithms for Industrial Applications: 907 (Studies in Computational Intelligence, 907)
77% match

Machine Learning Algorithms for Industrial Applications: 907 (Studies in Computational Intelligence, 907)

Springer

£107.98 18 May 2026
76% match

Machine Learning Made Visual with Python

Elsevier

£170.99 11 May 2026
Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)
76% match

Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

Cambridge University Press

£26.26 11 May 2026
Modern Causal Inference: Methods and Applications: An Essential Hands-on Guide with DoWhy, EconML, CausalML, Causal-learn in Python
76% match

Modern Causal Inference: Methods and Applications: An Essential Hands-on Guide with DoWhy, EconML, CausalML, Causal-learn in Python

£48.16 10 May 2026
Bias and Causation: Models and Judgment for Valid Comparisons (Wiley Series in Probability and Statistics)
76% match

Bias and Causation: Models and Judgment for Valid Comparisons (Wiley Series in Probability and Statistics)

Wiley

£90.99 04 May 2026
Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours
76% match

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours

Springer

£41.10 18 May 2026
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
76% match

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

Cambridge University Press

£47.92 04 May 2026
Applying Data Science: How to Create Value with Artificial Intelligence
76% match

Applying Data Science: How to Create Value with Artificial Intelligence

Springer

£81.58 18 May 2026
Applications of Machine Learning in Hydroclimatology (The Springer Series in Applied Machine Learning)
76% match

Applications of Machine Learning in Hydroclimatology (The Springer Series in Applied Machine Learning)

Springer

£106.32 16 May 2026
Probability, Random Variables, and Data Analytics with Engineering Applications
76% match

Probability, Random Variables, and Data Analytics with Engineering Applications

Springer

£81.58 14 May 2026
Probabilistic Modeling in Bioinformatics and Medical Informatics (Advanced Information and Knowledge Processing)
76% match

Probabilistic Modeling in Bioinformatics and Medical Informatics (Advanced Information and Knowledge Processing)

Springer

£115.13 16 May 2026