Last One Mile between Textbook ML and its real applications
⏱ 86 min-
Jung Hyeonjun | PhD, Ex-Amazon/Nike/Apple AI Leadership
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Hyunjoon Jeong obtained a PhD in Information Science and experienced AI leadership at giant IT companies such as Amazon, Nike, Apple, Microsoft, and KT.
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- THOSE WHO ARE CURIOUS ABOUT HOW TO BUILD AND EVALUATE ML MODELS FOR BUSINESS PURPOSES AS WELL AS ML RESEARCH
- THOSE WHO WANT TO KNOW HOW TO BUILD A GREAT CAREER IN THE FIELD OF ML
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- THOSE WHO ARE CURIOUS ABOUT HOW ML TECHNOLOGY IS USED IN THE ACTUAL BUSINESS FIELD
- Those who are curious about the machine learning evaluation method and its ripple effect
- A CASE OF USING MACHINE LEARNING IN A TOP-TIER FOREIGN IT COMPANY
DEMAND FOR MACHINE LEARNING (ML) AND DATA SCIENCE IS GROWING IN BOTH ACADEMIA AND INDUSTRY, WITH MACHINE LEARNING TECHNOLOGY HAVING BEEN WILDLY SUCCESSFUL IN MANY DOMAINS. ALTHOUGH THERE HAS BEEN GREAT SUCCESS IN ML RESEARCH IN ACADEMIC SETTINGS OVER THE PAST DECADE, WE ARE STILL FINDING MINOR DIFFERENCES BETWEEN PRACTICAL APPLICATIONS AND THEORETICAL APPROACHES IN ACADEMIC RESEARCH. IN THIS SESSION, WE WILL DISCUSS WHERE THESE GAPS LIE AND HOW TO APPLY DIFFERENT MACHINE LEARNING MODELS AND DATA SCIENCE TECHNIQUES TO REAL-WORLD SCENARIOS. IN PARTICULAR, VARIOUS PRACTICE CASES FOR EACH GAP FROM A HOLISTIC PERSPECTIVE ARE INTRODUCED.