{"id":942,"date":"2011-06-17T15:44:43","date_gmt":"2011-06-17T19:44:43","guid":{"rendered":"http:\/\/michaelnielsen.org\/blog\/?p=942"},"modified":"2011-06-17T15:44:43","modified_gmt":"2011-06-17T19:44:43","slug":"data-driven-intelligence","status":"publish","type":"post","link":"https:\/\/michaelnielsen.org\/blog\/data-driven-intelligence\/","title":{"rendered":"Data-driven intelligence"},"content":{"rendered":"<p>I&#8217;ve started a new blog, on <a href=\"http:\/\/www.michaelnielsen.org\/ddi\/\">data-driven intelligence<\/a>.  In future, this is where technical posts like my <a href=\"http:\/\/michaelnielsen.org\/blog\/lecture-course-the-google-technology-stack\/\">Google Technology Stack<\/a> posts will go.  There are two posts up:<\/p>\n<ul>\n<li>A <a href=\"http:\/\/www.michaelnielsen.org\/ddi\/pregel\/\">post<\/a> describing <a href=\"http:\/\/googleresearch.blogspot.com\/2009\/06\/large-scale-graph-computing-at-google.html\">Pregel<\/a>, Google&#8217;s system for implementing graph-based algorithms on large clusters of machines.  In addition to describing how Pregel works, I give a toy single-machine Python implementation which can be used to play with Pregel.  The code is <a href=\"https:\/\/github.com\/mnielsen\/Pregel\">up on GitHub<\/a>.\n<li><a href=\"http:\/\/www.michaelnielsen.org\/ddi\/sex-einstein-and-lady-gaga\/\">Sex, Einstein, and Lady Gaga: what&#8217;s discussed on the most popular blogs<\/a>.  I crawled 50,000 pages from Technorati&#8217;s list of the top 1,000 blogs, and determined the percentage of pages containing words such as &#8220;sex&#8221;, &#8220;Einstein&#8221;, &#8220;Gaga&#8221;, and many others.  The results were entertaining.\n<\/ul>\n<p>The blog, of course, has an <a href=\"http:\/\/feeds.feedburner.com\/michaelnielsen\/iVot\">RSS feed<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I&#8217;ve started a new blog, on data-driven intelligence. In future, this is where technical posts like my Google Technology Stack posts will go. There are two posts up: A post describing Pregel, Google&#8217;s system for implementing graph-based algorithms on large clusters of machines. In addition to describing how Pregel works, I give a toy single-machine&hellip; <a class=\"more-link\" href=\"https:\/\/michaelnielsen.org\/blog\/data-driven-intelligence\/\">Continue reading <span class=\"screen-reader-text\">Data-driven intelligence<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-942","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/posts\/942","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/comments?post=942"}],"version-history":[{"count":3,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/posts\/942\/revisions"}],"predecessor-version":[{"id":945,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/posts\/942\/revisions\/945"}],"wp:attachment":[{"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/media?parent=942"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/categories?post=942"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michaelnielsen.org\/blog\/wp-json\/wp\/v2\/tags?post=942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}