Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
David Low

David Low
Cofounder and Data Scientist, Pand.ai

@davidlowjw

David Low is the cofounder and chief data scientist at Pand.ai, a company building an AI-powered chatbot to disrupt and shape the booming conversational commerce space with deep natural language processing. He represented Singapore and the National University of Singapore (NUS) in the 2016 Data Science Games held in France, and clinched the top spot among Asian and American teams. David has been invited as a guest lecturer by NUS to conduct master classes on applied machine learning and deep learning topics. Throughout his career, David has engaged in data science projects across manufacturing, telco, ecommerce, and the insurance industry, including sales forecast modeling and influencer detection, which won him awards in several competitions and was featured on the IDA website and the NUS publication. Previously, he was a data scientist at the Infocomm Development Authority (IDA) of Singapore and was involved in research collaborations with Carnegie Mellon University (CMU) and Massachusetts Institute of Technology (MIT) on projects funded by the National Research Foundation and SMART. He competes on Kaggle and holds a top 0.2% worldwide ranking.

Sessions

14:0514:45 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 17
David Low (Pand.ai)
Average rating: ***..
(3.57, 7 ratings)
Transfer learning has been proven to be a tremendous success in computer vision—a result of the ImageNet competition. In the past few months, there have been several breakthroughs in natural language processing with transfer learning, namely ELMo, OpenAI Transformer, and ULMFit. David Low demonstrates how to use transfer learning on an NLP application with SOTA accuracy. Read more.