{"provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/akabane_k/","version":"1.0","provider_name":"Hatena Blog","url":"https://akabane-k.hatenablog.com/entry/2629086486d87308e2f3fda759d16e5a","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fakabane-k.hatenablog.com%2Fentry%2F2629086486d87308e2f3fda759d16e5a\" title=\"estrus - English Collection\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","height":"190","blog_title":"English Collection","title":"estrus","categories":["\u82f1\u5358\u8a9e"],"description":"Gary Marcus and Ernest Davis\u306e \"Rebooting AI\" \u3092\u8aad\u3093\u3067\u3044\u307e\u3059\u3002 The problem of mismatched goals can also take subtler forms. In the early days of machine learning company to build a system that could predict when cows are going into estrus. The specified goal fot the probram was to generate predictions \"estru\u2026","published":"2023-02-25 07:35:29","width":"100%","image_url":null,"blog_url":"https://akabane-k.hatenablog.com/","author_name":"akabane_k","type":"rich"}