{"id":4005,"date":"2016-01-28T10:49:57","date_gmt":"2016-01-28T15:49:57","guid":{"rendered":"http:\/\/hoolihan.net\/blog-tim\/?p=4005"},"modified":"2016-01-28T10:49:57","modified_gmt":"2016-01-28T15:49:57","slug":"presentation-on-linear-algebra-in-r","status":"publish","type":"post","link":"http:\/\/hoolihan.net\/blog-tim\/2016\/01\/28\/presentation-on-linear-algebra-in-r\/","title":{"rendered":"Presentation on Linear Algebra in R"},"content":{"rendered":"<p>At our <a href=\"\/\/www.meetup.com\/Cleveland-UseR-Group\/\" target=\"_blank\">January meeting<\/a>, I <a href=\"\/\/hoolihan.net\/blog-tim\/wp-content\/uploads\/2016\/01\/LAR.html#\/\" target=\"_blank\">presented on Linear Algebra basics in R<\/a>. I have been taking the <a href=\"https:\/\/www.coursera.org\/learn\/machine-learning\/\" target=\"_blank\">Andrew Ng&#8217;s Stanford Machine Learning course<\/a>. That course primarily uses Matlab (or Octave, and open source equivalent), and machine learning involves manipulating and calculating with matrices. Naturally, being an R person, I have been working with some of the techniques in R. <\/p>\n<p>In order to limit the scope of the talk, I focused on matrices, vectors and basic operations with them. There is a practical example that uses a machine learning algorithm, but it&#8217;s just to show how R handles a more involved equation with matrices. The talk is not an attempt to teach machine learning.<\/p>\n<p>The <a href=\"\/\/hoolihan.net\/blog-tim\/wp-content\/uploads\/2016\/01\/LAR.html\" target=\"_blank\">slides are available here<\/a>, and comments or suggestions are welcome.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>At our January meeting, I presented on Linear Algebra basics in R. I have been taking the Andrew Ng&#8217;s Stanford Machine Learning course. That course primarily uses Matlab (or Octave, and open source equivalent), and machine learning involves manipulating and calculating with matrices. Naturally, being an R person, I have been working with some of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55,289,286,267],"tags":[293,292,294,290,291,278,295],"class_list":["post-4005","post","type-post","status-publish","format-standard","hentry","category-data","category-machine-learning","category-math","category-r","tag-linear-algebra","tag-matlab","tag-matrix","tag-ml","tag-octave","tag-r","tag-vector"],"_links":{"self":[{"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/posts\/4005","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/comments?post=4005"}],"version-history":[{"count":0,"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/posts\/4005\/revisions"}],"wp:attachment":[{"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/media?parent=4005"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/categories?post=4005"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hoolihan.net\/blog-tim\/wp-json\/wp\/v2\/tags?post=4005"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}