If you really are interested in "Why" - then this is a very good read.

Bitte versuchen Sie es später noch einmal.Wir konnten Ihre Stimmabgabe leider nicht speichern. Algorithms to Live By: The Computer Science of Human Decisions

Also book written in an exhaustingly imperious tone.

relates to the difference between the reasoning and understanding of computers and of people. „The Book of Why“ ist ein populärwissenschaftliches Buch über ein Thema, das sich für viele eher trocken anhört: die mathematische Datenanalyse. By contrast, I was a graduate student in History and Philosophy of Science at the University of Pittsburgh from 1980 to 1986, and I can attest that the conceptual issues that Pearl contended with were our bread and butter. Um aus diesem Karussell zu navigieren, benutzen Sie bitte Ihre Überschrift-Tastenkombination, um zur nächsten oder vorherigen Überschrift zu navigieren.Diese Einkaufsfunktion lädt weitere Artikel, wenn die Eingabetaste gedrückt wird.

The machine learned model takes into account factors including: the age of a review, helpfulness votes by customers and whether the reviews are from verified purchases.Sorry, we failed to record your vote. We have all heard the old saying “correlation is not causation”.



We want to know how to effectively intervene in the world to prevent disaster and promote well-being. Rezension aus dem Vereinigten Königreich vom 7.

Select your address Confronting the many challenges of COVID-19—from the medical to the economic, the social to the political—demands all the moral and deliberative clarity we can muster. Pearl describes the transition from the mere observation of correlations to the testing of Do claims as the ascent from Rung One to Rung Two of the ladder of causation.
Rezension aus dem Vereinigten Königreich vom 7. After all, no telescope is strong enough to reveal what might have been. No BS, tremendous clarity, fun to read. (Englisch) Gebundene Ausgabe – Illustriert, 15. Perhaps the author is just a mediocre communicator? The difference is the difference between merely noting a correlation in the data and coming to a conclusion about causal structure.

People who choose red cars may tend to be more adventurous and thrill-seeking than the average driver, and so be involved in proportionally more accidents. The Book of Why: The New Science of Cause and Effect Nearly accessible book on the new approach to causality in science.Reviewed in the United Kingdom on September 10, 2018 The author purports that humans are the cause of global warming.

In this book, he attempts to … We've all learned that "correlation is not causation" and Pearl explains why that mantra runs the risk of throwing the baby out with the bath-water. Please try againSorry, we failed to record your vote.
The author purports that humans are the cause of global warming. Assume you are a lawyer. Nun hab ich so einiges in meinem Leben von Modellierung und mathematischen Modellen gehört und vielleicht ist auch das mein Problem. April 2020 We have all heard the old saying “correlation is not causation”. Bitte versuchen Sie es später noch einmal.Wir konnten Ihre Stimmabgabe leider nicht speichern.

Although at times I had to go back an re-read, I don't want to be tested on understanding it all, or being able to re-tell it.Rezension aus dem Vereinigten Königreich vom 17.

Assumes the researcher has God Mode and can build formal causal inference: very rare in practice and only suitable for analysis in highly controlled studies.



I expected this to be more interesting than it turned out to be. The planet has warmed up and cooled down thousands of times before we even existed as the species we are now. "The Book of Why" ist außerordentlich erhellend, kenntnisreich, inspirierend und sogar unterhaltsam. Judea Pearl, ein Professor für Informatik, bringt in dem Buch zusammen mit seinem Koautor, dem Wissenschaftsjournalisten Dana Mackenzie, einen Überblick über seine Forschungen zu dem Thema in einer (zumindest besser) lesbaren Form zu Papier (im Vergleich z.B. For me, solving problems is the test of understanding, not head scratching. Assume you are a lawyer. Join us to support engaged discussion on critical issues.

Causality only puts triangular diagrams onto what is probably impossible to achieve. It assumes familiarity with probability and statistics, has a few equations (which can be skipped), with a level of technicality more than a popular science book and less than a …

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