{"product_id":"machine-learning-algorithms","title":"Machine Learning Fundamentals: Principles and Application","description":"\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003e\u003cstrong\u003eCourse Description \u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eThis introductory course on machine learning algorithms provides students with a solid understanding of the core principles, applications, and limitations of machine learning, differentiating it from traditional programming approaches. Through instructor-led coding demonstrations, students will explore various supervised and unsupervised learning algorithms within prominent frameworks. The course aims to empower students with the knowledge to analyze and select appropriate machine learning algorithms and techniques to tackle real-world challenges, without the need for hands-on practice.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eThis is an asynchronous, self-paced course with no live instructor. The schedule is flexible and allows learners to complete coursework and assignments at their own pace and time. \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"background-color:rgb(255,255,255);color:rgb(65,65,65);font-size:14px;\"\u003e\u003cspan style=\"-webkit-text-stroke-width:0px;display:inline !important;float:none;font-family:sans-serif;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eIn the Brightspace account select Awards from the Course Tools drop-down menu in the navigation bar to view your certificate. When you have completed the course, please select the Course Feedback Survey link to take the anonymous survey. The survey should not take more than 5 minutes to complete. Your feedback will help shape the overall design of this and other online courses offered by Purdue University. When you have completed the courses, please select the \u003c\/span\u003e\u003c\/span\u003e\u003cstrong style=\"-webkit-text-stroke-width:0px;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eCourse Feedback Survey \u003c\/strong\u003e\u003cspan style=\"background-color:rgb(255,255,255);color:rgb(65,65,65);font-size:14px;\"\u003e\u003cspan style=\"-webkit-text-stroke-width:0px;display:inline !important;float:none;font-family:sans-serif;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e link to take you to the  \u003c\/span\u003e\u003c\/span\u003e\u003cstrong style=\"-webkit-text-stroke-width:0px;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eanonymous \u003c\/strong\u003e\u003cspan style=\"background-color:rgb(255,255,255);color:rgb(65,65,65);font-size:14px;\"\u003e\u003cspan style=\"-webkit-text-stroke-width:0px;display:inline !important;float:none;font-family:sans-serif;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e survey. The survey should not take more than 5 minutes to complete.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003e\u003cstrong\u003eNote: Learners will be awarded a course completion certificate from Purdue University. \u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003e\u003cstrong\u003eLearning Outcomes\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eAt the end of this course, you should be able to:\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eDescribe the capabilities \u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eAnalyze a variety of supervised and unsupervised machine learning algorithms using prominent frameworks.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eIntegrate machine learning knowledge to address real-world challenges by choosing appropriate algorithms and techniques.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003e\u003cstrong\u003eTarget Audience\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eSales engineers\/business development executives, managers, manufacturing personnel, college students, and anyone interested in learning more about machine learning algorithms.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cfigure class=\"table\" style=\"float:left;\"\u003e\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"693\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right:1.0pt solid windowtext;border-top-style:none;vertical-align:top;\" width=\"187\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.0pt;'\u003e\u003cstrong\u003eModule\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right-style:none;border-top-style:none;vertical-align:top;\" width=\"506\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.0pt;'\u003e\u003cstrong\u003eTopic \u0026amp; Readings\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right:1.0pt solid windowtext;border-top-style:none;vertical-align:top;\" width=\"187\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003e1\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right-style:none;border-top-style:none;vertical-align:top;\" width=\"506\"\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eIntro to Machine Learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eUnderstand and Build Machine Learning Models\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right:1.0pt solid windowtext;border-top-style:none;vertical-align:top;\" width=\"187\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003e2 \u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right-style:none;border-top-style:none;vertical-align:top;\" width=\"506\"\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eSupervised Machine Learning Algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eLogistic and Linear Regression\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right:1.0pt solid windowtext;border-top-style:none;vertical-align:top;\" width=\"187\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003e3\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1.0pt solid windowtext;border-left-style:none;border-right-style:none;border-top-style:none;vertical-align:top;\" width=\"506\"\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eUnderstanding Machine Learning Algorithms\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eApplications of Clustering\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom-style:none;border-left-style:none;border-right:1.0pt solid windowtext;border-top-style:none;vertical-align:top;\" width=\"187\"\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003e4\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"vertical-align:top;\" width=\"506\"\u003e\n\u003cp\u003e\u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:9.0pt;'\u003eCapstone Project\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/figure\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e\u003cp style=\"background-color:white;\"\u003e \u003c\/p\u003e","brand":"Purdue University","offers":[{"title":"Default Title","offer_id":43106835431491,"sku":"18239","price":129.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/3402\/3747\/files\/800x800_Purdue_MachineLearningAlg_v2.png?v=1776700954","url":"https:\/\/store-dev2.semi.org\/products\/machine-learning-algorithms","provider":"SEMI Dev 2","version":"1.0","type":"link"}