{"id":125,"date":"2023-12-11T02:21:06","date_gmt":"2023-12-11T06:21:06","guid":{"rendered":"https:\/\/sites.bu.edu\/healthdatascience\/?p=125"},"modified":"2024-12-14T17:31:49","modified_gmt":"2024-12-14T22:31:49","slug":"intro-to-machine-learning-workshop","status":"publish","type":"post","link":"https:\/\/sites.bu.edu\/healthdatascience\/2023\/12\/11\/intro-to-machine-learning-workshop\/","title":{"rendered":"DEC 11: Workshop on Introduction to Machine Learning"},"content":{"rendered":"<p><span>Instructors:\u00a0<\/span><a href=\"https:\/\/phri.njms.rutgers.edu\/faculty-and-research\/faculty\/evan-johnson\/\">W. Evan Johnson<\/a><span>\u00a0and\u00a0<\/span><a href=\"https:\/\/vkola-lab.github.io\/\">Vijaya B. Kolachalama<\/a>.<\/p>\n<p><strong>Dec 11, 2023 | 11:30AM &#8211; 2:30PM.\u00a0 Hiebert Lounge.<br \/>\n<\/strong><\/p>\n<p>Lunch provided.<\/p>\n<p><strong>Registration is now closed.<\/strong><\/p>\n<p>The workshop will include the following topics:<\/p>\n<ul>\n<li>Introduction to Machine Learning\u00a0Terminology<\/li>\n<li>Overview of Machine Learning Methods\n<ul>\n<li>Supervised and unsupervised learning<\/li>\n<li>Model training and testing<\/li>\n<li>Model evaluation \/ performance metrics<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li>Kernel-based Methods\n<ul>\n<li>Kernels and transformations<\/li>\n<li>Regularization and\u00a0feature\u00a0selection<\/li>\n<li>Kernel\u00a0regression<\/li>\n<li>Support Vector Machines<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li>Tree-based Learning\n<ul>\n<li>Classic decision trees<\/li>\n<li>Regression Trees<\/li>\n<li>Ensemble learning<\/li>\n<li>Random forests<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li>Neural Networks (including overview of deep learning)<\/li>\n<\/ul>\n<p><strong>Optional pre-workshop R Literacy session, L311<br \/>\n<\/strong><strong>Dec 4, 2023 | 12:00PM &#8211; 2:00PM\u00a0<\/strong><\/p>\n<p>Individuals who would like to enhance their skills in R to better participate in the workshop\u2019s optional coding exercises are welcomed to attend the pre-workshop R literacy session. This interactive session will cover topics such as installing RStudio, loading libraries, working with R objects, tidyverse, ggplot, functions, and loops.<\/p>\n<p>Instructor: <a href=\"https:\/\/www.bu.edu\/sph\/profile\/chad-milando\/\">Dr. Chad Milando<\/a>\u00a0is a research scientist in the Department of Environmental Health interested in creating and using novel computational tools to examine health impacts (and interventions) among the most vulnerable populations. He has taught versions of the R literacy bootcamp over the past several years and is excited to share tips with the growing BU SPH Data Science community.<\/p>\n<ul><\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Instructors:\u00a0W. Evan Johnson\u00a0and\u00a0Vijaya B. Kolachalama. Dec 11, 2023 | 11:30AM &#8211; 2:30PM.\u00a0 Hiebert Lounge. Lunch provided. Registration is now closed. The workshop will include the following topics: Introduction to Machine Learning\u00a0Terminology Overview of Machine Learning Methods Supervised and unsupervised learning Model training and testing Model evaluation \/ performance metrics Kernel-based Methods Kernels and transformations Regularization [&hellip;]<\/p>\n","protected":false},"author":20457,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/posts\/125"}],"collection":[{"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/users\/20457"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/comments?post=125"}],"version-history":[{"count":27,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/posts\/125\/revisions"}],"predecessor-version":[{"id":1167,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/posts\/125\/revisions\/1167"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/media?parent=125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/categories?post=125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.bu.edu\/healthdatascience\/wp-json\/wp\/v2\/tags?post=125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}