{"id":114,"date":"2014-06-28T20:32:52","date_gmt":"2014-06-28T20:32:52","guid":{"rendered":"http:\/\/www.ewansilver.com\/blog\/?p=114"},"modified":"2014-07-03T15:40:38","modified_gmt":"2014-07-03T15:40:38","slug":"daily-link-2","status":"publish","type":"post","link":"http:\/\/www.ewansilver.com\/blog\/2014\/06\/28\/daily-link-2\/","title":{"rendered":"Daily Link"},"content":{"rendered":"<ul>\n<li><a href=\"http:\/\/www.farnamstreetblog.com\/2014\/06\/ruth-chang-hard-choices\/\" title=\"How to make hard choices\" target=\"_blank\">Ruth Chang: How to make hard choices<\/a>\n<\/li>\n<li>\n<a href=\"https:\/\/www.youtube.com\/watch?v=1-3Ahy7Fxsc&#038;index=3&#038;list=PL055Epbe6d5aFXqs5UPAyQxs3D-1tHVCy\" title=\"Achieving Rapid Response Times in Large Online Services\" target=\"_blank\">Achieving Rapid Response Times in Large Online Services<\/a> &#8211; an old topic but a goody.<\/li>\n<li><a href=\"https:\/\/blog.twitter.com\/2014\/tsar-a-timeseries-aggregator\" title=\"The best way to win an argument\" target=\"_blank\">TSAR, a TimeSeries AggregatoR<\/a><\/li>\n<li><a href=\"http:\/\/christonard.com\/12-free-data-mining-books\/\" title=\"14 FREE (AS IN BEER) DATA MINING BOOKS\" target=\"_blank\">14 free (as in beer) data mining books<\/a><\/li>\n<li><a href=\"http:\/\/nerds.airbnb.com\/architecting-machine-learning-system-risk\/\" title=\"Architecting a Machine Learning System for Risk\" target=\"_blank\">Architecting a Machine Learning System for Risk<\/a><br \/><em>&#8220;Most people who\u2019ve worked in machine learning will find this obvious, but it\u2019s worth re-stressing:<br \/>\nIf your ground truth is inaccurate, you\u2019ve already set an upper limit to how good your precision and recall can be. If your ground truth is grossly inaccurate, that upper limit is pretty low.&#8221;<\/em><\/li>\n<li><a href=\"http:\/\/mitpress.mit.edu\/books\/engineering-safer-world\" title=\"Engineering a safer world\" target=\"_blank\">Engineering a safer world<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Ruth Chang: How to make hard choices Achieving Rapid Response Times in Large Online Services &#8211; an old topic but a goody. TSAR, a TimeSeries AggregatoR 14 free (as in beer) data mining books Architecting a Machine Learning System for Risk&#8220;Most people who\u2019ve worked in machine learning will find this obvious, but it\u2019s worth re-stressing: &hellip; <a href=\"http:\/\/www.ewansilver.com\/blog\/2014\/06\/28\/daily-link-2\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Daily Link<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-114","post","type-post","status-publish","format-standard","hentry","category-notes"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/posts\/114","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/comments?post=114"}],"version-history":[{"count":1,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/posts\/114\/revisions"}],"predecessor-version":[{"id":155,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/posts\/114\/revisions\/155"}],"wp:attachment":[{"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/media?parent=114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/categories?post=114"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.ewansilver.com\/blog\/wp-json\/wp\/v2\/tags?post=114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}