{"id":1179,"date":"2011-04-03T19:09:05","date_gmt":"2011-04-04T02:09:05","guid":{"rendered":"http:\/\/www.johnnylogic.org\/?p=1179"},"modified":"2011-04-03T21:46:25","modified_gmt":"2011-04-04T04:46:25","slug":"bookmarks-for-march-23rd-through-april-3rd","status":"publish","type":"post","link":"https:\/\/www.johnnylogic.org\/blog\/2011\/04\/03\/bookmarks-for-march-23rd-through-april-3rd\/","title":{"rendered":"Bookmarks for March 23rd through April 3rd"},"content":{"rendered":"<p>These are my links for March 23rd through April 3rd:<\/p>\n<ul>\n<li><a href=\"http:\/\/hunch.net\/?p=1729\">The Ideal Large Scale Learning Class \u00c2\u00ab Machine Learning (Theory)<\/a> &#8211; At NIPS, Andrew Ng asked me what should be in a large scale learning class. After some discussion with him and Nando and mulling it over a bit, these are the topics that I think should be covered.<br \/>\nThere are many different kinds of scaling.<\/li>\n<li><a href=\"http:\/\/www.spring.org.uk\/2009\/07\/10-rules-that-govern-groups.php\">10 Rules That Govern Groups \u00e2\u20ac\u201d PsyBlog<\/a> &#8211; Much of our lives are spent in groups with other people: we form groups to socialise, earn money, play sport, make music, even to change the world. But although groups are diverse, many of the psychological processes involved are remarkably similar.<br \/>\nHere are 10 insightful studies that give a flavour of what has been discovered about the dynamics of group psychology.<\/li>\n<li><a href=\"http:\/\/sixrevisions.com\/javascript\/graph_chart_plot_data_javascript\/\">Graphing\/Charting Data on Web Pages: JavaScript Solutions<\/a> &#8211; Effective data visualization allows users to easily understand and consume otherwise complex, boring information. Plotting your data can serve as a replacement to tabular data, and is also a great way to add practical graphics to your web page or application. There are a variety of ways you can plot data on-the-fly \u00e2\u20ac\u201c but in this article we\u00e2\u20ac\u2122ll focus on 10 excellent JavaScript solutions to graphing\/charting data that allow you to process data client-side. You\u00e2\u20ac\u2122ll also find a link to one of the demonstration pages of the script so that you can see it in action.<\/li>\n<li><a href=\"http:\/\/xianblog.wordpress.com\/2011\/03\/20\/bertands-paradox-r-details\/\">Bertand\u00e2\u20ac\u2122s paradox [R details]<\/a> &#8211; Some may have had reservations about the \u00e2\u20ac\u0153randomness\u00e2\u20ac\u009d of the straws I plotted to illustrate Bertrand\u00e2\u20ac\u2122s paradox. As they were all going North-West\/South-East. I had actually made an inversion between cbind and rbind in the R code, which explained for this non-random orientation. Above is the corrected version, which sounds \u00e2\u20ac\u0153more random\u00e2\u20ac\u009d indeed. (And using wheat as the proper, if weak, colour!) The outcome of a probability of 1\/2 has not changed, of course. Here is the R code as well:<\/li>\n<li><a href=\"http:\/\/www.unifyingtheories.org\/\">www.unifyingtheories.org<\/a> &#8211; Unifying Theories of Programming deals with program semantics. It shows how denotational semantics, operational semantics and algebraic semantics can be combined in a unified framework for the formal specification, design and implementation of programs and computer systems.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>These are my links for March 23rd through April 3rd: The Ideal Large Scale Learning Class \u00c2\u00ab Machine Learning (Theory) &#8211; At NIPS, Andrew Ng asked me what should be in a large scale learning class. After some discussion with him and Nando and mulling it over a bit, these are the topics that I [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[],"tags":[],"class_list":["post-1179","post","type-post","status-publish","format-standard","czr-hentry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p71YpQ-j1","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/posts\/1179","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/comments?post=1179"}],"version-history":[{"count":6,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/posts\/1179\/revisions"}],"predecessor-version":[{"id":1187,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/posts\/1179\/revisions\/1187"}],"wp:attachment":[{"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/media?parent=1179"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/categories?post=1179"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.johnnylogic.org\/blog\/wp-json\/wp\/v2\/tags?post=1179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}