{"660545":{"#nid":"660545","#data":{"type":"event","title":"SCL Course: Machine Learning Applications for Supply Chain Planning (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThis course is the third in the four-course Supply Chain Analytics Professional certificate program. It introduces the field of machine learning, an area where algorithms learn patterns from data to support proactive decision making, as it applies to supply chain management. You\u2019ll use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. You\u2019ll use Python and PowerBI to create and analyze regression, clustering, and classification models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed\u0026nbsp;before the first day of the course.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EUnderstand the role of machine learning (ML) in Supply Chain Management (SCM)\u003C\/li\u003E\r\n\t\u003Cli\u003EApply advanced analytics techniques to build planning tools that can leverage large and real-time data sets\u003C\/li\u003E\r\n\t\u003Cli\u003EApply ML in demand forecasting and predictive maintenance\u003C\/li\u003E\r\n\t\u003Cli\u003EUnderstand how to assess ML model performance, improve models, and pick the best model for a decision\u003C\/li\u003E\r\n\t\u003Cli\u003EUse Python and PowerBI to build, analyze, and deploy ML models\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EHow ML relates to SCM\u003C\/li\u003E\r\n\t\u003Cli\u003EML algorithms such as regression trees, clustering techniques, decision trees, random forests, logistic regression\u003C\/li\u003E\r\n\t\u003Cli\u003EAspects of ML projects including parameter tuning, cross validation, and assess model performance\u003C\/li\u003E\r\n\t\u003Cli\u003EApplication of ML in demand forecasting for sales and operations planning (S\u0026amp;OP) and inventory management\u003C\/li\u003E\r\n\t\u003Cli\u003EApplication of ML in predictive maintenance\u003C\/li\u003E\r\n\t\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAn introduction to\u0026nbsp;the field of machine learning as it applies to supply chain management. You\u2019ll then use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn to use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance."}],"uid":"27233","created_gmt":"2022-08-25 16:17:48","changed_gmt":"2023-10-20 19:36:19","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-16T13:00:00-04:00","event_time_end":"2023-10-19T17:00:00-04:00","event_time_end_last":"2023-10-19T17:00:00-04:00","gmt_time_start":"2023-10-16 17:00:00","gmt_time_end":"2023-10-19 21:00:00","gmt_time_end_last":"2023-10-19 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online\/Virtually-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/scaml","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}