{"id":995,"date":"2021-10-22T14:52:52","date_gmt":"2021-10-22T18:52:52","guid":{"rendered":"https:\/\/www.macloo.com\/ai\/?p=995"},"modified":"2021-10-22T15:15:20","modified_gmt":"2021-10-22T19:15:20","slug":"machine-learning-models-explained","status":"publish","type":"post","link":"https:\/\/www.macloo.com\/ai\/2021\/10\/22\/machine-learning-models-explained\/","title":{"rendered":"Machine learning models, explained"},"content":{"rendered":"\n<p>A quick post to remind myself of this article: <a rel=\"noreferrer noopener\" href=\"https:\/\/towardsdatascience.com\/all-machine-learning-models-explained-in-6-minutes-9fe30ff6776a\" target=\"_blank\">All Machine Learning Models Explained in 6 Minutes<\/a> (2020). <\/p>\n\n\n\n<p>Here is an outline:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Supervised learning<\/strong><ul><li>Regression <ul><li>Linear regression<\/li><li>Decision tree<\/li><li>Random forest<\/li><li>Neural network<\/li><\/ul><\/li><li>Classification<ul><li>Logistic regression<\/li><li>Support vector machine<\/li><li>Naive Bayes<\/li><\/ul><\/li><\/ul><\/li><li><strong>Unsupervised learning<\/strong><ul><li>Clustering: &#8220;Techniques include k-means clustering, hierarchical clustering, mean shift clustering, and density-based clustering&#8221;<\/li><li>Dimensionality reduction: &#8220;Most dimensionality-reduction techniques can be categorized as either feature elimination or feature extraction&#8221;<\/li><\/ul><\/li><\/ul>\n\n\n\n<p><strong>Reinforcement learning<\/strong> is not mentioned in the post.<\/p>\n\n\n\n<p>To get your hands dirty with these models, look at <a rel=\"noreferrer noopener\" href=\"https:\/\/scikit-learn.org\/\" target=\"_blank\">scikit-learn<\/a> \u2014 a Python library.<\/p>\n\n\n\n<p>I also found this mildly interesting: <a rel=\"noreferrer noopener\" href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/the-machine-learning-process\" target=\"_blank\">The Machine Learning Process in 7 Steps<\/a> (2021). It&#8217;s very brief.<\/p>\n\n\n\n<p>.<\/p>\n\n\n\n<p><a rel=\"license\" href=\"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/\"><img decoding=\"async\" alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https:\/\/i.creativecommons.org\/l\/by-nc-nd\/4.0\/88x31.png\"><\/a><br>\n<small><span xmlns:dct=\"http:\/\/purl.org\/dc\/terms\/\" property=\"dct:title\"><strong>AI in Media and Society<\/strong><\/span> by <span xmlns:cc=\"http:\/\/creativecommons.org\/ns#\" property=\"cc:attributionName\">Mindy McAdams<\/span> is licensed under a <a rel=\"license\" href=\"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/\">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License<\/a>.<br>\nInclude the author&#8217;s name (Mindy McAdams) and a link to the original post in any reuse of this content.<\/small><\/p>\n\n\n\n<p>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A quick post to remind myself of this article: All Machine Learning Models Explained in 6 Minutes (2020). Here is an outline: Supervised learning Regression Linear regression Decision tree Random forest Neural network Classification Logistic regression Support vector machine Naive Bayes Unsupervised learning Clustering: &#8220;Techniques include k-means clustering, hierarchical clustering, mean shift clustering, and density-based&hellip; <a class=\"more-link\" href=\"https:\/\/www.macloo.com\/ai\/2021\/10\/22\/machine-learning-models-explained\/\">Continue reading <span class=\"screen-reader-text\">Machine learning models, explained<\/span> <span class=\"meta-nav\" aria-hidden=\"true\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[43,5],"tags":[178,179],"class_list":["post-995","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-machine-learning","tag-models","tag-regression"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/posts\/995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/comments?post=995"}],"version-history":[{"count":5,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/posts\/995\/revisions"}],"predecessor-version":[{"id":1001,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/posts\/995\/revisions\/1001"}],"wp:attachment":[{"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/media?parent=995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/categories?post=995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.macloo.com\/ai\/wp-json\/wp\/v2\/tags?post=995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}