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Debunking Common Myths on Data Science & Artificial Intelligence
August 14, 2019 @ 7:00 pm - 8:30 pmFree
Do you have a misconception about Data Science and AI?
These days there are a lot of people and organizations talking about Data Science and Artificial Intelligence, and because it is an upcoming field and not a lot of people understand them in great details, there are a lot of myths and misconceptions around it. In this talk, Koo will touch on some of the common myths and demystify them, to give the clearest picture possible on what Data Science and Artificial Intelligence is really about. Join us in this talk and find out more on what Data Science and Artificial Intelligence is and bring your own questions along and it may just get answered at the talk too.
Koo Ping Shung
Praticum Director,Data Science Rex Pte Ltd
Co-founder, Data Science SG
Mr Koo is an experienced Data Scientist/Analytics Instructor with an MBA degree & 13+ years of relevant experience. A strong and passionate advocate of Data Science & Artificial Intelligence, hoping more people, both business and talents, get on the bandwagon to derive tremendous business value from DS/AI. He has experience in data management and governance, machine learning/statistical modeling, business intelligence and text analytics. He is also familiar with common tools such as SAS, R, Python and SQL.
He co-founded DataScience.Sg, an interest group on Data Science in Nov 2013, growing it to more than 5000 members within 36 months and was the former Chairman of Working Committee, Singapore SAS User Group.
Mr Koo is also a mentor & trainer in SAS-IDA Data Scientist Consultant Programme, instructor at NUS SCALE and Senior Adjunct Faculty at SUSS. He has conducted analytics-related training to various professionals inclusive of banking professionals in T&O, supervised Masters students’ analytics project and was previously and adjunct faculty of SMU. He was also a facilitator for IDA Data Science MOOC Initiative and Data Literacy Bootcamp for Journalist that was organized by World Bank and IDA.