Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference. Foundation

📁 Elements of Causal Inference. Foundations and Learning Algorithms

✍ Jonas Peters, Dominik Janzing, Bernhard Scholkopf 📂 Library 📅 2017 🏛 The MIT Press 🌐 English

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contai

Elements of Causal Inference: Foundation

📁 Elements of Causal Inference: Foundations and Learning Algorithms

✍ Jonas Peters; Dominik Janzing; Bernhard Scholkopf 📂 Library 📅 2017 🏛 MIT Press 🌐 English

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contain

Elements of Causal Inference: Foundation

📁 Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)

✍ Jonas Peters, Dominik Janzing, Bernhard Scholkopf 📂 Library 📅 2017 🏛 The MIT Press 🌐 English

<span>A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.</span><p><span>The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book

Machine Learning for Causal Inference

📁 Machine Learning for Causal Inference

✍ Sheng Li; Zhixuan Chu 📂 Library 📅 2023 🏛 Springer International Publishing 🌐 English

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 th

Information theory, inference, and learn

📁 Information theory, inference, and learning algorithms

✍ MacKay D J C 📂 Library 🏛 Cambridge University Press 🌐 English

Information theory, inference and learni

📁 Information theory, inference and learning algorithms

✍ MacKay D.J.C. 📂 Library 📅 2005 🏛 CUP 🌐 English

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational