{"id":373,"date":"2014-08-22T02:44:39","date_gmt":"2014-08-22T02:44:39","guid":{"rendered":"http:\/\/ec2-52-79-86-100.ap-northeast-2.compute.amazonaws.com\/?p=373"},"modified":"2024-05-01T14:38:52","modified_gmt":"2024-05-01T05:38:52","slug":"naive-bayesian-classifier-seminar","status":"publish","type":"post","link":"https:\/\/blog.themusio.com\/?p=373","title":{"rendered":"Naive Bayesian Classifier Seminar"},"content":{"rendered":"<p class=\"mywriting_sentence\">For more info :\u00a0<a href=\"https:\/\/blog.themusio.com\/wp-content\/uploads\/2015\/11\/Naive-Bayesian-Classifier-1.pptx\">Naive Bayesian Classifier<\/a><\/p>\n<p class=\"mywriting_sentence\">***Peeking Into The Seminar***<\/p>\n<p>Classifying is the basic feature of all machine learning.\u00a0The most famous and widely known way of classifying is called Naive Bayesian. Naive Bayesian Classifier processes learn on the basis of Bayes\u2019s theorem and hypothesis that all features are independent. Users can test its performance by pre-processing the learning data and inputting\u00a0it\u00a0into the\u00a0Naive\u00a0Bayesian classifier. Advantages that\u00a0the\u00a0Naive Bayesian classifier has\u00a0over\u00a0other classifiers are<\/p>\n<p>1)\u00a0It\u00a0is very time-saving<\/p>\n<p>2)\u00a0It\u00a0has low storage requirements<\/p>\n<p>3)\u00a0It\u00a0shows a great performance<\/p>\n<p>&nbsp;<\/p>\n<p>Thus, in the academic and business world, people\u00a0should\u00a0use and consider this as the standard\u00a0for\u00a0classifying texts. More information and explanations are in the\u00a0powerpoint\u00a0material\u00a0attached. Lastly, these days, Deep\u00a0Belief Network is widely used in the field of deep learning\u00a0in conjunction with the Naive Bayesian classifier.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For more info :\u00a0Naive Bayesian Classifier ***Peeking Into The Seminar*** Classifying is the basic feature of a [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3642,3640],"tags":[3656,4110,4312],"class_list":["post-373","post","type-post","status-publish","format-standard","hentry","category-ai-en","category-all-en","tag-baggage-en","tag-musio-initialisation-process-ja-en","tag-naive-bayesian-classifier-en"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/posts\/373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=373"}],"version-history":[{"count":2,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/posts\/373\/revisions"}],"predecessor-version":[{"id":10939,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=\/wp\/v2\/posts\/373\/revisions\/10939"}],"wp:attachment":[{"href":"https:\/\/blog.themusio.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.themusio.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}