{"id":2448,"date":"2021-09-17T10:44:33","date_gmt":"2021-09-17T08:44:33","guid":{"rendered":"https:\/\/www.um.sav.sk\/en\/?p=2448"},"modified":"2022-03-15T16:18:44","modified_gmt":"2022-03-15T15:18:44","slug":"a-series-of-seminars-on-the-topic-machine-learning","status":"publish","type":"post","link":"https:\/\/www.um.sav.sk\/en\/seminars_archive\/a-series-of-seminars-on-the-topic-machine-learning\/","title":{"rendered":"A series of seminars on the topic &#8220;Machine learning&#8221;"},"content":{"rendered":"<p>We invite you to a series of educational seminars focused on the machine learning methods led by Mgr. Zuzana Ro\u0161\u0165\u00e1kov\u00e1, Ph.D. The first seminar lecture will take place on September 23, 2021 (Thursday) at 10:00 am in the meeting room of IMS SAS.<\/p>\n<p>After the introduction to machine learning, we will focus on selected approaches to the graphical representation of multidimensional data and the dimensionality reduction methods.<\/p>\n<p>&nbsp;<\/p>\n<h1>Preliminary syllabus:<\/h1>\n<h2>Introduction to machine learning<\/h2>\n<ul>\n<li>unsupervised learning<\/li>\n<li>supervised learning<\/li>\n<li>selected methods for graphical representation of multidimensional data in MATLAB<\/li>\n<\/ul>\n<h2>Unsupervised learning<\/h2>\n<p>a) Dimensionality reduction<\/p>\n<ul>\n<li>principal component analysis and its version for functional data and time series<\/li>\n<li>exploratory factor analysis<\/li>\n<li>independent component analysis<\/li>\n<li>non-negative matrix factorisation<\/li>\n<li>higher-order arrays decomposition methods<\/li>\n<\/ul>\n<p>b) Cluster analysis:<\/p>\n<ul>\n<li>non-hierarchical clustering<\/li>\n<li>hierarchical clustering<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Supervised learning<\/h2>\n<p>a) Data classification<\/p>\n<ul>\n<li>introduction to data classification<\/li>\n<li>classifier\u2019s quality<\/li>\n<li>classification methods:\n<ul>\n<li>k-nearest neighbours<\/li>\n<li>decision trees<\/li>\n<li>linear and quadratic discriminant analysis<\/li>\n<li>naive Bayesian classifier<\/li>\n<li>support vector machines<\/li>\n<li>neural networks<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>At the seminars, we will gradually take over the individual methods, their implementation in MATLAB, and application to real data.<\/p>\n<p>&nbsp;<\/p>\n<h2>Literature:<\/h2>\n<ol>\n<li>electronic sources from lectures on Multivariate statistics from doc. Mgr. Radoslav Harman, PhD., <a href=\"http:\/\/www.iam.fmph.uniba.sk\/ospm\/Harman\/VSAp.pdf\">(see source)<\/a><\/li>\n<\/ol>\n<ol start=\"2\">\n<li>James G., Witten D., Hastie T., Tibshirani R. (2021) An Introduction to Statistical Learning: with applications in R. Springer. Second Edition. ISBN: 978-1-0716-1417-4. <a href=\"https:\/\/doi.org\/10.1007\/978-1-0716-1418-1\">https:\/\/doi.org\/10.1007\/978-1-0716-1418-1<\/a>, <a href=\"http:\/\/www.iam.fmph.uniba.sk\/ospm\/Harman\/VSAp.pdf\">(see source)<\/a><\/li>\n<li>Everitt B. S.(2005) An R and S-plus Companion to Multivariate Analysis. Springer. ISBN 978-1-85233-882-4. <a href=\"https:\/\/doi.org\/10.1007\/b138954\">https:\/\/doi.org\/10.1007\/b138954<\/a><\/li>\n<li>Mohammed, M., Khan, M. B., Bashier, E. B. M. (2016). Machine learning: algorithms and applications. Crc Press. ISBN: 978-1-31537-165-8 <a href=\"https:\/\/doi.org\/10.1201\/9781315371658\">https:\/\/doi.org\/10.1201\/9781315371658<\/a><\/li>\n<li>Lamo\u0161, F., Potock\u00fd, R. (1998) Pravdepodobnos\u0165 a matematick\u00e1 \u0161tatistika (\u0161tatistick\u00e9 anal\u00fdzy). Univerzita Komensk\u00e9ho, Bratislava. ISBN: 80-223-1262-2<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>We invite you to a series of educational seminars focused on the machine learning methods led by Mgr. Zuzana Ro\u0161\u0165\u00e1kov\u00e1, Ph.D. The first seminar lecture&#8230;<\/p>\n","protected":false},"author":4,"featured_media":2445,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[13],"tags":[],"class_list":["post-2448","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seminars_archive"],"publishpress_future_action":{"enabled":false,"date":"2026-05-05 12:24:10","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/2448","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/comments?post=2448"}],"version-history":[{"count":4,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/2448\/revisions"}],"predecessor-version":[{"id":2456,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/2448\/revisions\/2456"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/media\/2445"}],"wp:attachment":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/media?parent=2448"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/categories?post=2448"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/tags?post=2448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}