{"id":266,"date":"2019-11-10T16:10:51","date_gmt":"2019-11-10T16:10:51","guid":{"rendered":"http:\/\/jkhorner.com\/?page_id=266"},"modified":"2023-07-22T16:45:27","modified_gmt":"2023-07-22T16:45:27","slug":"machine-learning","status":"publish","type":"page","link":"https:\/\/jkhorner.com\/index.php\/machine-learning\/","title":{"rendered":"MACHINE LEARNING"},"content":{"rendered":"<p><a href=\"\/MACHINE_LEARNING\/fantastic_creatures_with_control.pdf\">A Simple Automated Image Classifier<\/a> illustrates how to implement a simple automated image-classifier in <em>Mathematica<\/em>. Among other things, the example shows the importance of providing an automated classifier with a sufficiently diverse, and sufficiently large,\u00a0 universe of examples during the classifier\u2019s training phase.\u00a0\u00a0 If we don&#8217;t, the results are likely to be unreliable.\u00a0 For example, iIf we \u201ctell\u201d such a classifier that any given object in the universe is either green cheese or beef jerky, the classifier will identify anything we ask it to classify (including a picture of Donald Trump) as green cheese or beef jerky, and nothing else.\u00a0\u00a0\u00a0 This problem is not peculiar to automated image-classifiers: it is one of the sources of sensory illusions and tribalisms.<\/p>\n<p>The file at the link above was last updated on 11 November 2019 at 0800 US Central time.<\/p>\n<hr \/>\n<p><a href=\"\/MACHINE_LEARNING\/classify_philosophers.pdf\">Three Philosophers Walk into a Classifier<\/a> illustrates how to implement an automated text classifier in<em> Mathematica<\/em>.<\/p>\n<p>The file at the link above was last updated on 8 March 2021.<\/p>\n<p>___________________________________________________________<\/p>\n<p>Click <a href=\"\/MACHINE_LEARNING\/feature_extract.pdf\">here<\/a> for an illustration of using the Mathematica function FeatureExtraction as an image classifier.<\/p>\n<p>_____________________________________________________________<\/p>\n<p>Click <a href=\"\/MACHINE_LEARNING\/Y_pestis_metabolic_network_pwr_law.pdf\">here<\/a> for a Mathematica demonstration the vertex-degree distribution of the metabolic network of Y. pestis is a power-law.<\/p>\n<hr \/>\n<p>Click <a href=\"\/MACHINE_LEARNING\/Clovis_classifier.pdf\">here<\/a> for an automated classifier of Clovis vs. Solutrean projectile points<\/p>\n<p>This page was last updated on 19 June 2021 at 1011 CT.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Simple Automated Image Classifier illustrates how to implement a simple automated image-classifier in Mathematica. Among other things, the example shows the importance of providing an automated classifier with a sufficiently diverse, and sufficiently large,\u00a0 universe of examples during the classifier\u2019s training phase.\u00a0\u00a0 If we don&#8217;t, the results are likely to be unreliable.\u00a0 For example, &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/jkhorner.com\/index.php\/machine-learning\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;MACHINE LEARNING&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-266","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/pages\/266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/comments?post=266"}],"version-history":[{"count":10,"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/pages\/266\/revisions"}],"predecessor-version":[{"id":502,"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/pages\/266\/revisions\/502"}],"wp:attachment":[{"href":"https:\/\/jkhorner.com\/index.php\/wp-json\/wp\/v2\/media?parent=266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}