{"product_id":"9781541698963","title":"The Book of Why: The New Science of Cause and Effect","description":"\u003cb\u003eAn argument for how understanding causality has revolutionized science and will revolutionize artificial intelligence.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\"Illuminating.\" --\u003c\/b\u003e\u003ci\u003e\u003cb\u003eNew York Times\u003c\/b\u003e\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\"Extraordinary.\" --\u003c\/b\u003e\u003ci\u003e\u003cb\u003eScience Friday\u003c\/b\u003e\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003e \"Correlation is not causation.\" This mantra, chanted by scientists for more than a century, once led to a virtual prohibition on causal talk. Today, with causal analysis taking center stage in AI and other applications, the old taboos are a thing of the past. \u003cp\u003e\u003c\/p\u003e The causal revolution, instigated by Judea Pearl and others, established causality on a firm scientific basis. Pearl showed how intuitive models can interface with data to help answer causal questions, such as whether a drug will cure an illness or, counterfactually, whether an illness would have persisted absent the drug. These models provide a blueprint for causal AI to learn and take responsibility for its mistakes. \u003cp\u003e\u003c\/p\u003e Updated with a new preface and summary of recent advances, \u003ci\u003eThe Book of Why\u003c\/i\u003e outlines the basics of cause and effect for lay readers and scientists alike, providing tools to explore the observable world and worlds that might have been.","brand":"Basic Books","offers":[{"title":"Default Title","offer_id":42390777823293,"sku":"9781541698963","price":21.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0603\/0838\/9949\/files\/9781541698963_p0.jpg?v=1771567377","url":"https:\/\/www.tatteredcover.mom\/products\/9781541698963","provider":"Tattered Cover","version":"1.0","type":"link"}