Hi Code Drinkers,

Nulab Drinking Code Singapore is excited to bring you two data science talks this time.

Our speakers:

• Admond is a data scientist, consultant, and writer. He's contributed articles to KDnuggets, AI Time Journal and Tech in Asia.
• Ming Lun is doing his masters at NUS, working on explainable machine learning.

Enjoy talks on machine-learning, free drinks/pizza, and fun mingling with other mad data scientists in our meetup! (Night of the Living Dead-ta!)  

---- Talks ----

## Using Machine Learning to Imitate Human Behaviour in Betting

by Admond Lee, Data Scientist at Micron

It's often said that there are nine losses out of ten bets. In this talk, Admond will share his experience of building a machine learning model using XGBoost to imitate players' behaviour and some of the interesting results to profit from betting based on intuitive model interpretability.

## An Introduction to Explainable Machine Learning

by Ong Ming Lun, a Graduate Research Student at the National University of Singapore

State-of-the-art Machine Learning models have become immensely popular over the last few years. However, due to their complexity, they are often regarded as black-boxes. In this presentation, Ming Lun will put forward a case for Explainability to better understand Machine Learning models, creating an understanding that better aligns with human intuition.

---- Schedule ----

6.45 - 7.10pm: Doors open, mingling with pizza and drinks

7.10pm - 8.10pm: Talks

8.10pm - 9.00pm: Networking, free stickers, drinks

In our work and personal projects, there are interesting stories and insights to be gleaned, and sharing these experiences will make us richer in knowledge and also connect to each other. So come join #DrinkingCode for drinks and tech talks!

---- Speaker profiles ----

Admond is currently a Data Scientist at Micron focusing on Smart Manufacturing and AI. With his degree in Physics, Admond discovered and pursued his passion in data science and never looked back ever since. He is also an independent data scientist and consultant helping companies and digital marketing agencies achieve their marketing ROI using advanced social analytics and machine learning. Being a passionate writer who writes about data science, his data science work and experience have been featured by various publications, including KDnuggets, Medium, Tech in Asia, AI Time Journal and local business magazine.

Ming Lun is a Graduate Student at the National University of Singapore. His research work focuses on Explainable Machine Learning in the domain of healthcare. He has a Bachelor’s degree in Electrical Engineering.