{"product_id":"manufacturing-analytics","title":"Manufacturing Analytics","description":"\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\u003cstrong style=\"box-sizing:border-box;\"\u003eCourse Description \u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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;\"\u003eMachine Learning can be deployed to manufacturing to significantly increase production efficiency and capacity. In this course, step-by-step tutorials on how to apply machine learning to analyze manufacturing data are presented. Students will learn how to create artificial intelligence solutions for manufacturing analytics.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\u003cstrong\u003eNote: Learners will be awarded a course completion certificate upon submitting the four module knowledge checks with an 80% completion score.\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\u003cstrong style=\"box-sizing:border-box;\"\u003eLearning Outcomes\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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;\"\u003eAt the end of this course, you should be able to:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplain the benefits of machine learning in manufacturing.\u003c\/li\u003e\n\u003cli\u003eDescribe the common operations in developing machine learning applications.\u003c\/li\u003e\n\u003cli\u003eApply machine learning for manufacturing analytics.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\u003cstrong style=\"box-sizing:border-box;\"\u003eCourse Schedule and Duration\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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;\"\u003eBelow is the course schedule. It is recommended that you work through one module per week. The entire course is estimated to take 15 hours to complete. Each module is estimated to take 3.75 hours to complete. The certificate is delivered within the Awards tool in the Brightspace course. *Schedule and assignments are subject to change. Any changes will be posted in Brightspace.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003cspan style=\"color:#414141;\"\u003e\u003cspan style='font-family:\"Arial\",sans-serif;font-size:10.5pt;'\u003eaccount 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 \u003cstrong\u003eCourse Feedback Survey\u003c\/strong\u003e link to take you to the \u003cstrong\u003eanonymous\u003c\/strong\u003e survey. The survey should not take more than 5 minutes to complete. \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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 \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\u003cstrong style=\"box-sizing:border-box;\"\u003eTarget Audience\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);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;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;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\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 manufacturing analytics.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cfigure class=\"table\" style=\"width:759.891px;\"\u003e\u003ctable style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);border-collapse:collapse;box-sizing:border-box;color:rgb(65, 65, 65);empty-cells:show;font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin-right:730.094px;max-width:100%;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"642\"\u003e\u003ctbody style=\"box-sizing:border-box;\"\u003e\n\u003ctr style=\"box-sizing:border-box;height:13.05pt;\"\u003e\n\u003ctd style=\"border:1pt solid rgb(0, 0, 0);box-sizing:border-box;height:13.05pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:126.45pt;\" width=\"169\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eModule\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top:1pt solid rgb(0, 0, 0);box-sizing:border-box;height:13.05pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:408.797px;\" width=\"299\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eTopic \u0026amp; Readings\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top:1pt solid rgb(0, 0, 0);box-sizing:border-box;height:13.05pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:157.359px;\" width=\"174\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eQuiz\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;height:31.5pt;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left:1pt solid rgb(0, 0, 0);border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:31.5pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:126.45pt;\" width=\"169\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e1 – Artificial Intelligence in Manufacturing\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eTopics:\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eSmart Manufacturing\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eArtificial Intelligence\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eApplications, Benefits, and Challenges\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:31.5pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:408.797px;\" width=\"299\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eManufacturing Evolution\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:3.05pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eReadings:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0.1pt 122.7pt 0px 1.75pt;text-indent:-1.8pt;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e-What are the 11 Pillars of Industry 4.0\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:12.85pt 126.6pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e-The Evolution of the Factory-From the Blacksmith to Modern Smart Factories\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0.55pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0px 158.5pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e11 Pillars of Smart Manufacturing\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0.65pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0px;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eArtificial Intelligence\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0.15pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:12.8pt;margin-bottom:0px;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eReadings:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:0px 126.6pt 0px 0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e-Your Five-Minute Guide to Understanding Machin Learning\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin:12.8pt 133.85pt 0px 5.15pt;text-indent:-5.2pt;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003e-A Five-Minute Guide to Artificial Intelligence\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:31.5pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:157.359px;\" width=\"174\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e1\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;height:148pt;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left:1pt solid rgb(0, 0, 0);border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:148pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:126.45pt;\" width=\"169\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e2– Vehicle MPG Prediction\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eTopics:\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eLoad \u0026amp; Process Mfg Data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eWork on Linear Regression Models\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eArtificial Intelligence\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003ePerform feature selection on mfg. data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:148pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:408.797px;\" width=\"299\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eIntroducing Google Colab\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eLoad Manufacturing Dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eProces Manufacturing Dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eCalculate the Pearson’s Correlation Coefficients\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eReadings: Review and Practice the Project in Colab\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:148pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:157.359px;\" width=\"174\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e2\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;height:166.8pt;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left:1pt solid rgb(0, 0, 0);border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:166.8pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:126.45pt;\" width=\"169\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e3 – Used Car Price Prediction\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eTopics:\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eLoad \u0026amp; Process Mfg Data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eCompare Various Regression Models\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003ePerform Feature Selection on Mfg. Data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:166.8pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:408.797px;\" width=\"299\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eLoad Mfg Dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eProcess Mfg Data Set\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eDevelop a multivariate linear regression model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eVisualize feature coefficients\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eDevelop a polynomial regression model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eDevelop a ridge regression model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003ePerform feature selection with embedded method\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003ePerform feature selection with forward selection\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eReadings: Review \u0026amp; Practice the Project in Colab\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:166.8pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:157.359px;\" width=\"174\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e3\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;height:14.35pt;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left:1pt solid rgb(0, 0, 0);border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:14.35pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:126.45pt;\" width=\"169\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e4 – Quality Inspection of Casting Products\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eTopics:\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eLoad \u0026amp; visualize mfg. data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eProcess mfg. data\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eBuild, train \u0026amp; evaluate a Cnn model\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003eAugment dataset\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:14.35pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:408.797px;\" width=\"299\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eLading mfg. dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eVisualize mfg. dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eCreate the train, validation, and test sets\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eInspect a batch in the train set\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eVisualize images in a batch of the train set\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eBuild a CNN model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eTrain the CNN model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eEvaluate the CNN model\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eCreate an augmented dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eBuild, train, and evaluate a CNN model on an augmented dataset\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eReadings: Review and Practice the Project in Colab\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid rgb(0, 0, 0);border-image:initial;border-left-style:none;border-right:1pt solid rgb(0, 0, 0);border-top-style:none;box-sizing:border-box;height:14.35pt;min-width:5px;padding:0px 5.4pt;user-select:text;vertical-align:top;width:157.359px;\" width=\"174\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-top:0px;text-align:center;\"\u003e4\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/figure\u003e","brand":"Purdue University","offers":[{"title":"Default Title","offer_id":43106835234883,"sku":"18230","price":21300.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/3402\/3747\/files\/800x800_Purdue_ManufacturingAnalytics.png?v=1776700949","url":"https:\/\/store-dev2.semi.org\/en-jp\/products\/manufacturing-analytics","provider":"SEMI Dev 2","version":"1.0","type":"link"}