Machine Learning and Humans

Oct 31, 2019 · Singapore, Singapore

Hi Code Drinkers,

We're excited to bring you two talks on machine learning.

Our speakers:

- Admond is a data scientist focused on smart manufacturing/AI, 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.

Come join #DrinkingCode for an insightful night of tech talks and networking with free drinks and pizza.

---- 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

---- 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.

Event organizers
  • Nulab Drinking Code Singapore

    Drinking Code Singapore is a new meetup focused on enriching the tech ecosystem in Singapore. Programmers, designers, and tech enthusiasts alike are welcome to join our events hosted at our community working space, NuSpace. Our meetups cover a variety of tech topics ranging from computer science and software engineering to user interfaces and programming, to name a few! We will also host talks on business-related subjects specific to startups in Singapore and around Asia. And of course, as our name implies

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