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Machine Learning for Causal Inference

Edición de Sheng Li, Zhixuan Chu ...

Series series Intelligent Technologies and Robotics (R0)
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 ... Leer más

$161.99 USD

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
... Leer más

Causal Inference and Discovery in Python

Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

de Aleksander Molak ...

Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesExamine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and moreDiscover modern causal inference ... Leer más

$39.99 USD o gratis con Kobo Plus

Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesExamine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and moreDiscover modern causal inference
... Leer más
Elements of Causal Inference

Foundations and Learning Algorithms

de Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...

Series series Adaptive Computation and Machine Learning series
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-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Leer más

$27.99 USD

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-contained and concise introduction to causal models and how to learn them from data.After explaining the
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The Handbook of Computational Linguistics and Natural Language Processing

Edición de Alexander Clark, Chris Fox, Shalom Lappin ...

Series series Wiley Handbooks in Linguistics
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Leer más

$46.00 USD

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering
... Leer más
Bayesian Models of Cognition

Reverse Engineering the Mind

Edición de Thomas L. Griffiths, Nick Chater, Joshua B. Tenenbaum ...

The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a ... Leer más

$73.99 USD

The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a
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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Best Practices and Pitfalls

Edición de Gyorgy J. Simon, Constantin Aliferis ...

Series series Medicine (R0)
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of ... Leer más

Gratis

This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of
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Network Psychometrics with R

A Guide for Behavioral and Social Scientists

Edición de Adela-Maria Isvoranu, Sacha Epskamp, Lourens Waldorp, Denny Borsboom ...

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective.Written by pioneers in the field, this textbook showcases cutting-edge methods in ... Leer más

$77.99 USD

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective.Written by pioneers in the field, this textbook showcases cutting-edge methods in
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Neural Network Methods in Natural Language Processing

de Yoav Goldberg, Graeme Hirst ...

Series series Synthesis Lectures on Human Language Technologies
Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Leer más

$53.99 USD

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words.
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Introduction to Modeling Cognitive Processes

de Tom Verguts ...

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments.Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a ... Leer más

$30.99 USD

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments.Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a
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Statistical Relational Artificial Intelligence

Logic, Probability, and Computation

de Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...

Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Leer más

$46.99 USD

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in
... Leer más
Experimental Design

Procedures for the Behavioral Sciences

de Roger E. Kirk ...

This classic text, with a reputuation for accessibility and readability, has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface ... Leer más

$141.29 USD

This classic text, with a reputuation for accessibility and readability, has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface
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Machine Learning from Weak Supervision

An Empirical Risk Minimization Approach

de Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...

Series series Adaptive Computation and Machine Learning series
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi ... Leer más

$39.99 USD

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi
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Causal Inference and Discovery in Python

Elements of Causal Inference

The Handbook of Computational Linguistics and Natural Language Processing

Bayesian Models of Cognition

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Network Psychometrics with R

Neural Network Methods in Natural Language Processing

Introduction to Modeling Cognitive Processes

Statistical Relational Artificial Intelligence

Experimental Design

Machine Learning from Weak Supervision

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