Machine Learning for Causal Inference - Image 1

View at Amazon ↗

£107.05

It has never been this cheap. We have no record of a lower price.

£107 today · cheaper than every other day in the last 3 months

Springer Machine Learning for Causal Inference

Name: Machine Learning for Causal Inference
Brand: Springer
Price: 107.05 GBP
Availability: InStock

Databases

Price Distribution

Price distribution over 22 days • 1 price levels

Days at Price

Price Analysis

Most common price: £107 (22 days, 100.0%)

Price range: £107 - £107

Price levels: 1 different prices over 22 days

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 Specifications

Brand: Springer
Format: hardcover
ASIN: 3031350502
Category: Books > Subjects > Computing & Internet > Databases
Domain: Amazon UK
Release Date: 26 November 2023
Listed Since: 05 May 2023

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

Springer Machine Learning for Causal Inference

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Manning Causal AI - Causal Machine Learning and Inference Book

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality (Foundations and Trends® in Signal Processing)

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Causal Inference for Data Science

CRC Press Fundamentals of Causal Inference: With R Textbook

The Effect: An Introduction to Research Design and Causality

Cause and Effect Business Analytics and Data Science: For Big and Small Data (Chapman and Hall/CRC Series on Statistics in Business and Economics)

Causal Inference in Econometrics: 622 (Studies in Computational Intelligence, 622)

Probabilistic Graphical Models – Principles and Techniques (Adaptive Computation and Machine Learning series)

Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction

Causal Models in the Social Sciences

Linear Causal Modeling with Structural Equations (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Causal Models in the Social Sciences - Routledge

Wiley Agent-based Models and Causal Inference Book

The Oxford Handbook of Causal Reasoning (Oxford Library of Psychology)

Chapman and Hall/CRC A First Course in Causal Inference

Causality for Artificial Intelligence: From a Philosophical Perspective

Causal Inference in Python: Applying Causal Inference in the Tech Industry

Chapman and Hall/CRC Model to Meaning - Statistical Interpretation

Model-Based Machine Learning

Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

The Routledge Handbook of Causality and Causal Methods (Routledge Handbooks in Philosophy)

It has never been this cheap. We have no record of a lower price.

Springer Machine Learning for Causal Inference

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Manning Causal AI - Causal Machine Learning and Inference Book

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality (Foundations and Trends® in Signal Processing)

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Causal Inference for Data Science

CRC Press Fundamentals of Causal Inference: With R Textbook

The Effect: An Introduction to Research Design and Causality

Cause and Effect Business Analytics and Data Science: For Big and Small Data (Chapman and Hall/CRC Series on Statistics in Business and Economics)

Causal Inference in Econometrics: 622 (Studies in Computational Intelligence, 622)

Probabilistic Graphical Models – Principles and Techniques (Adaptive Computation and Machine Learning series)

Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction

Causal Models in the Social Sciences

Linear Causal Modeling with Structural Equations (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Causal Models in the Social Sciences - Routledge

Wiley Agent-based Models and Causal Inference Book

The Oxford Handbook of Causal Reasoning (Oxford Library of Psychology)

Chapman and Hall/CRC A First Course in Causal Inference

Causality for Artificial Intelligence: From a Philosophical Perspective

Causal Inference in Python: Applying Causal Inference in the Tech Industry

Chapman and Hall/CRC Model to Meaning - Statistical Interpretation

Model-Based Machine Learning

Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

The Routledge Handbook of Causality and Causal Methods (Routledge Handbooks in Philosophy)