The Book of Why

The Book of Why

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  • Author: Judea Pearl
  • Publisher: Basic Books
  • ISBN: 0465097618
  • Category : Computers
  • Languages : en
  • Pages : 432

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.


Cause and Effect

Cause and Effect

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  • Author: Sven Ehmann
  • Publisher: Die Gestalten Verlag-DGV
  • ISBN: 9783899554434
  • Category : Design
  • Languages : en
  • Pages : 0

This book reveals the new visual language of sustainability.


Cause Effect Pairs in Machine Learning

Cause Effect Pairs in Machine Learning

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  • Author: Isabelle Guyon
  • Publisher: Springer Nature
  • ISBN: 3030218104
  • Category : Computers
  • Languages : en
  • Pages : 372

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.


The Effect

The Effect

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  • Author: Nick Huntington-Klein
  • Publisher: CRC Press
  • ISBN: 1000509141
  • Category : Business & Economics
  • Languages : en
  • Pages : 646

Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences


Cause

Cause

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  • Author: Gregory Smithsimon
  • Publisher: Melville House
  • ISBN: 1612196764
  • Category : Political Science
  • Languages : en
  • Pages : 321

Cause uses sociology's tools to explain how, as humans in general, we are bad at determining cause and effect, particularly when we're trying to understand social problems like poverty, discrimination, or how to respond to climate change and terrorism. Divided into three sections, the book examines how and why humans tell stories; the unseen influences that we overlook when telling these stories; and how a smarter story could greatly enhance how we understand ourselves and each other. Cause offers nothing short of a new way of looking at our world.


Cause & Effect, Grades 5 - 6

Cause & Effect, Grades 5 - 6

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  • Author:
  • Publisher: Carson-Dellosa Publishing
  • ISBN: 1609967674
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 48

Cause and effect is an essential reading comprehension skill for all subject areas. Help students understand cause and effect using Spotlight on Reading: Cause and Effect for grades 5–6. This 48-page book includes a variety of high-interest lessons and activities that make learning fun! The exercises increase in difficulty as the book progresses, so students practice more-advanced skills as they work. With a variety of formats, teachers can provide direct instruction, reinforcement, and independent practice throughout the year. This book is perfect for practice at home and school and includes an answer key. It aligns with state, national, and Canadian provincial standards.


Cause & Effect

Cause & Effect

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  • Author: Patricia Ackert
  • Publisher:
  • ISBN:
  • Category : English language
  • Languages : en
  • Pages : 0


Computing in Cause-Effect Structures

Computing in Cause-Effect Structures

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  • Author: Ludwik Czaja
  • Publisher: Springer Nature
  • ISBN: 3030888134
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 180

This book focuses on numerous examples of tasks represented by c-e structure. Cause–effect (c-e) structures are dynamic objects devised for algebraic and graphic description of realistic tasks. They constitute a formal system providing means to specify or implement (depending on degree of description generality) the tasks. They can be transformed, thus come under simplification, in accordance with rules-axioms of their algebra. Also, their properties can be inferred from the axioms. One objective of this book is presentation, by many realistic examples, of computing capability of c-e structures, without entering into mathematical details of their algebra. In particular, how computing with natural numbers and in propositional calculus can be performed by c-e structures and how to specify behavior of data structures. But also demonstration of many other tasks taken from the area of parallel processing, specified as c-e structures. Another objective is modelling or simulation by means of c-e structures, of other descriptive systems, devised for tasks from various fields. Also without formalizing by usage of functions between the systems. This concerns formalisms such as reaction systems, rough sets, Petri nets and CSP-like languages. Also on such, where temporal interdependence between actions matters. The presentation of examples is prevalently graphic, in the form of peculiar nets, but accompanied by their algebraic and set-theoretic expressions. A fairly complete exposition of concepts and properties of the algebra of cause-effect structures is in the previous book appeared in the Lecture Notes in Networks and Systems series. But basic notions of c-e structures are here provided for understanding the examples.


Cause-Effect Structures

Cause-Effect Structures

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  • Author: Ludwik Czaja
  • Publisher: Springer
  • ISBN: 3030204618
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 142

This book presents a new algebraic system whose interpretation coincides with the behaviour of Petri nets, enhanced with an inhibitory mechanism and four time models. Its goal is to provide a formal means of modelling dynamic tasks, and of testing and verifying properties, in contexts characterised by the parallel execution of actions. However, the task description differs from that of Petri nets. The algebra is a quasi-semiring, “quasi” because of its somewhat restricted distributivity axiom. Expressions of this algebra, the cause–effect structures, have a graphic presentation as nets, but with one kind of named nodes, each annotated by two expressions that specify the type of signal reception from predecessors and transmission to successors. Many structural and behavioural properties are stated with proofs, and illustrative sample tasks are included. The book is intended for all those interested or involved in parallel and distributed computing – students, researchers and practitioners alike.


Cause, Effect, and Control of Accidental Loss with Accident Investigation Kit

Cause, Effect, and Control of Accidental Loss with Accident Investigation Kit

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  • Author: Ron Charles McKinnon
  • Publisher: CRC Press
  • ISBN: 9781420032666
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 288

Accident: an undesired event that results in loss. Most people give little thought to accidents or their prevention. Health and safety professionals face this challenge, and its associated costs and losses, both human and financial, every day. Cause, Effect, and Control of Accidental Loss with Accident Investigation Kit provides the tools you need