{"610755":{"#nid":"610755","#data":{"type":"event","title":"Datapalooza: Machine Learning Workshop and Smart Life Roadshow","body":[{"value":"\u003Cp\u003EThe Office of Information Technology \u0026ndash; Academic and Research Technologies (ART) and Partnership for an Advanced Computing Environment (PACE) \u0026ndash; is facilitating a workshop with Amazon Web Services (AWS) to focus on\u0026nbsp;the convergence of\u0026nbsp;Machine Learning and the Internet of Things.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring this workshop students and researchers will have an opportunity to develop a crowd emotion tracking application while leveraging technologies including Amazon\u0026#39;s AWS DeepLens and Rekognition model. Plus, attendees will be able to experience the future of smart home devices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate: \u003C\/strong\u003ESeptember 18, 10 a.m. \u0026ndash; 4 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Global Learning Center, Auditorium\u0026nbsp;222\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/majorleaguehacking.typeform.com\/to\/j52Ol5\u0022\u003ERegister\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWorkshop Agenda:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E10:00 a.m. \u0026ndash; Introduction: Overview of DataPalooza: A music festival themed ML + IoT Workshop on building a Crowd Emotion Tracking Application\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E10:15 a.m. \u0026ndash; Machine Learning Overview: ML at the edge and in the cloud\u003C\/li\u003E\r\n\t\u003Cli\u003E11:00 a.m. \u0026ndash; Hands-on lab 1: Capturing the festival vibe: Create and deploy a face recognition project at the edge with AWS DeepLens\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E12:00 p.m. \u0026ndash; Lunch (student networking)\u003C\/li\u003E\r\n\t\u003Cli\u003E1:00 p.m.\u0026nbsp;\u0026ndash; Hands-on lab 2: Is the crowd having fun? Build a deep learning model to identify and analyze the sentiments of your festival audience with Amazon SageMaker and Amazon Rekognition\u003C\/li\u003E\r\n\t\u003Cli\u003E2:00 p.m.\u0026nbsp;\u0026nbsp;\u0026ndash; Break\u003C\/li\u003E\r\n\t\u003Cli\u003E2:15 p.m.\u0026nbsp;\u0026nbsp;\u0026ndash; Hands-on Lab 2 (continued)\u003C\/li\u003E\r\n\t\u003Cli\u003E3:30 p.m.\u0026nbsp;\u0026nbsp;\u0026ndash; Closing remarks and Q\u0026amp;A\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDataPalooza is a music festival themed Machine Learning and Internet of Things workshop that focuses on building a Crowd Emotion Tracking Application that improves the music festival experiences. This workshop will provide attendees hands on experience in building machine learning and deep learning models.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"DataPalooza is a music festival themed Machine Learning and Internet of Things workshop that focuses on building a Crowd Emotion Tracking Application that improves the music festival experiences."}],"uid":"34855","created_gmt":"2018-08-31 17:04:38","changed_gmt":"2018-09-14 12:49:28","author":"ssarajlic3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-09-18T11:00:00-04:00","event_time_end":"2018-09-18T17:00:00-04:00","event_time_end_last":"2018-09-18T17:00:00-04:00","gmt_time_start":"2018-09-18 15:00:00","gmt_time_end":"2018-09-18 21:00:00","gmt_time_end_last":"2018-09-18 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"groups":[{"id":"337231","name":"Georgia Tech High Performance Computing (PACE)"}],"categories":[],"keywords":[{"id":"178925","name":"PACE Special Event"},{"id":"102221","name":"analytics and big data"},{"id":"15092","name":"big data"},{"id":"68951","name":"Internet of Things"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1789","name":"Conference\/Symposium"},{"id":"1788","name":"Other\/Miscellaneous"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EOffice of Information Technology\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ESemir Sarajlic, semir.sarajlic@oit.gatech.edu\u003C\/li\u003E\r\n\t\u003Cli\u003EFang (Cherry) Liu,\u0026nbsp;fang.liu@oit.gatech.edu\u003C\/li\u003E\r\n\t\u003Cli\u003EVictor Bolet,\u0026nbsp;victor.bolet@oit.gatech.edu\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}