2023-02-10 05:09:16 +00:00
<!DOCTYPE html>
2023-02-10 04:02:50 +00:00
< html >
< head >
< title >
2023-03-15 14:27:52 +00:00
MGMT-4190: Introduction to Machine Learning Applications
2023-02-10 04:02:50 +00:00
< / title >
2023-03-15 14:27:52 +00:00
< meta property = "og:title" content = "MGMT-4190: Introduction to Machine Learning Applications" >
< meta property = "og:description" content = "The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data, enabling organizations to use analytics and experimentation in both strategy and operations. This course provides a hands-on introduction to the concepts, methods, and processes for machine learning from data, the foundation of artificial intelligence. Students will learn how to manipulate data and apply machine learning models to business context. Students will learn how to obtain data and draw business inferences from data by asking the right questions and using the appropriate tools." >
2023-02-10 04:31:43 +00:00
< link rel = "stylesheet" href = "../css/common.css" >
< link rel = "stylesheet" href = "../css/coursedisplay.css" >
2023-04-04 22:26:01 +00:00
< link rel = "stylesheet" href = "../css/themes.css" >
2023-02-17 02:21:36 +00:00
< link rel = "shortcut icon" href = "../favicon/quatalogIcon.png" >
< link rel = "icon" href = "../favicon/favicon.ico" >
< link rel = "apple-touch-icon" sizes = "180x180" href = "../favicon/apple-touch-icon.png" >
< link rel = "icon" type = "image/png" sizes = "32x32" href = "../favicon/favicon-32x32.png" >
< link rel = "icon" type = "image/png" sizes = "16x16" href = "../favicon/favicon-16x16.png" >
< link rel = "manifest" href = "../favicon/site.webmanifest" >
2023-02-11 00:01:14 +00:00
< script src = "../js/fuse.js" > < / script >
< script src = "../js/search_helper.js" > < / script >
2023-02-10 04:02:50 +00:00
< / head >
< body class = "search_plugin_added" >
< div id = "qlog-header" >
2023-02-10 05:09:16 +00:00
< a id = "qlog-wordmark" href = "../" > < svg > < use href = "../images/quatalogHWordmark.svg#QuatalogHWordmark" > < / use > < / svg > < / a >
2023-02-11 01:18:44 +00:00
< form onsubmit = "search_helper(event)" >
2023-02-10 21:00:10 +00:00
< input type = "text" id = "search" class = "header-search" placeholder = "Search..." >
< / form >
2023-02-10 04:02:50 +00:00
< / div >
< div id = "cd-flex" >
< div id = "course-info-container" >
< h1 id = "name" >
2023-03-15 14:27:52 +00:00
Introduction to Machine Learning Applications
2023-02-10 04:02:50 +00:00
< / h1 >
< h2 id = "code" >
MGMT-4190
< / h2 >
< p >
2023-03-15 14:27:52 +00:00
The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data, enabling organizations to use analytics and experimentation in both strategy and operations. This course provides a hands-on introduction to the concepts, methods, and processes for machine learning from data, the foundation of artificial intelligence. Students will learn how to manipulate data and apply machine learning models to business context. Students will learn how to obtain data and draw business inferences from data by asking the right questions and using the appropriate tools.
2023-02-10 04:02:50 +00:00
< / p >
< div id = "cattrs-container" >
< span id = "credits-pill" class = "attr-pill" >
4 credits
< / span >
< / div >
< div id = "prereq-container" class = "rel-info-container" >
< div id = "prereq-title" class = "rel-info-title" >
Prereqs:
< / div >
< div id = "prereq-classes" class = "rel-info-courses" >
< span class = "none-rect" >
none
< / span >
< / div >
< / div >
< / div >
< div id = "past-container" >
2023-02-10 05:09:16 +00:00
< h1 id = "past-title" >
2023-02-10 04:02:50 +00:00
Past Term Data
< / h2 >
2023-02-10 04:31:43 +00:00
< input type = "radio" id = "simple-view-input" name = "view-select" value = "simple" checked = "checked" >
< input type = "radio" id = "detail-view-input" name = "view-select" value = "detailed" >
2023-02-10 04:02:50 +00:00
< div id = "opt-container" >
< div id = "key-panel" >
< div id = "yes-code" class = "key-code" >
< span class = "code-icon" id = "yes-code-icon" >
2023-02-10 05:09:16 +00:00
< svg > < use href = "../icons.svg#circle-check" > < / use > < / svg >
2023-02-10 04:02:50 +00:00
< / span >
Offered
< / div >
< div id = "no-code" class = "key-code" >
< span class = "code-icon" id = "no-code-icon" >
2023-02-10 05:09:16 +00:00
< svg > < use href = "../icons.svg#circle-no" > < / use > < / svg >
2023-02-10 04:02:50 +00:00
< / span >
Not Offered
< / div >
< div id = "diff-code" class = "key-code" >
< span class = "code-icon" id = "diff-code-icon" >
2023-02-10 05:09:16 +00:00
< svg > < use href = "../icons.svg#circle-question" > < / use > < / svg >
2023-02-10 04:02:50 +00:00
< / span >
Offered as Cross-Listing Only
< / div >
< div id = "nil-code" class = "key-code" >
< span class = "code-icon" id = "nil-code-icon" >
2023-02-10 05:09:16 +00:00
< svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg >
2023-02-10 04:02:50 +00:00
< / span >
No Term Data
< / div >
< / div >
< div id = "control-panel" >
< label for = "simple-view-input" id = "simple-view-label" class = "view-option-label" >
< span class = "view-icon" id = "simple-view-icon" >
2023-02-10 05:09:16 +00:00
< span class = "view-icon-selected" > < svg > < use href = "../icons.svg#circle-dot" > < / use > < / svg > < / span >
< span class = "view-icon-unselected" > < svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg > < / span >
2023-02-10 04:02:50 +00:00
< / span >
Simple View
< / label >
< label for = "detail-view-input" id = "detail-view-label" class = "view-option-label" >
< span class = "view-icon" id = "detail-view-icon" >
2023-02-10 05:09:16 +00:00
< span class = "view-icon-selected" > < svg > < use href = "../icons.svg#circle-dot" > < / use > < / svg > < / span >
< span class = "view-icon-unselected" > < svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg > < / span >
2023-02-10 04:02:50 +00:00
< / span >
Detailed View
< / label >
< / div >
< / div >
2023-02-10 21:00:10 +00:00
< table id = "years-table" >
2023-02-10 04:02:50 +00:00
< thead >
< tr >
< th > < / th >
< th class = "spring season-label" > Spring< / th >
< th class = "summer season-label" colspan = "2" > Summer< / th >
< th class = "fall season-label" > Fall< / th >
< / tr >
< tr >
< th colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
< th > < / th >
< / tr >
< / thead >
< tbody >
2023-10-04 15:23:31 +00:00
< tr >
< th class = "year" > 2024< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202401&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
< / span >
< ul class = "prof-list" >
2023-10-05 14:25:11 +00:00
< li > Lydia Manikonda< / li >
2023-10-04 15:23:31 +00:00
< / ul >
< span class = "course-capacity" >
2024-01-18 17:26:33 +00:00
Seats Taken: 16/45
2023-10-04 15:23:31 +00:00
< / span >
< / div >
< / td >
2024-01-18 18:28:50 +00:00
< td colspan = "2" class = "term summer not-offered" >
2023-10-04 15:23:31 +00:00
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
< / span >
< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 0/35
< / span >
< / div >
2023-10-04 15:23:31 +00:00
< / td >
< / tr >
2023-02-10 04:02:50 +00:00
< tr >
< th class = "year" > 2023< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
2023-04-05 18:33:00 +00:00
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202301&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
2023-02-10 04:02:50 +00:00
< / span >
< ul class = "prof-list" >
< li > Minor E. Gordon< / li >
< / ul >
< span class = "course-capacity" >
2023-03-02 23:10:00 +00:00
Seats Taken: 7/15
2023-02-10 04:02:50 +00:00
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
2023-04-05 18:33:00 +00:00
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202309&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
2023-02-10 04:02:50 +00:00
< / span >
< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
< / ul >
< span class = "course-capacity" >
2023-10-20 21:57:08 +00:00
Seats Taken: 25/35
2023-02-10 04:02:50 +00:00
< / span >
< / div >
< / td >
< / tr >
< tr >
< th class = "year" > 2022< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
2023-04-05 18:33:00 +00:00
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202209&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
2023-02-10 04:02:50 +00:00
< / span >
< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
< li > Jason Nicholas Kuruzovich< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 30/35
< / span >
< / div >
< / td >
< / tr >
< tr >
< th class = "year" > 2021< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
2023-04-05 18:33:00 +00:00
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202109&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
2023-02-10 04:02:50 +00:00
< / span >
< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
< li > Jason Nicholas Kuruzovich< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 28/35
< / span >
< / div >
< / td >
< / tr >
< tr >
< th class = "year" > 2020< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
2023-04-05 18:33:00 +00:00
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202009&subj_in=MGMT&crse_in=4190&schd_in=" > Intro To Machine Learning Apps (4c)< / a >
2023-02-10 04:02:50 +00:00
< / span >
< ul class = "prof-list" >
< li > Thomas Richard Morgan< / li >
< li > Jason Nicholas Kuruzovich< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 12/30
< / span >
< / div >
< / td >
< / tr >
< tr >
< th class = "year" > 2019< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2018< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2017< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2016< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2015< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2014< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2013< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2012< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2011< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2010< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2009< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2008< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2007< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2006< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2005< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2004< / th >
2024-01-18 18:28:50 +00:00
< td class = "term spring not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2003< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2002< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2001< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 2000< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 1999< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-22 04:39:06 +00:00
< / td >
< / tr >
< tr >
< th class = "year" > 1998< / th >
2023-02-10 04:02:50 +00:00
< td class = "term spring unscheduled" >
< / td >
2023-02-22 04:39:06 +00:00
< td colspan = "2" class = "term summer not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
2024-01-18 18:28:50 +00:00
< td class = "term fall not-offered" >
2023-02-10 04:02:50 +00:00
< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< / body >
< / html >
