About Me
After spending 5 years researching theoretical physics at Hong Kong University of Science and Technology, Cheuk has transferred her analytical and logical skills in natural science and built a career in data science. Cheuk has been a Data Scientist in one of the biggest worldwide wholesalers in the travel business; an AWS partnered consultancy which delivers machine learning model; a startup aiming to revolutionise revenue management with data science and; a global bank using machine learning to investigating financial crime. Now Cheuk is working in a team of developers building a revolutionary graph database.
Cheuk constantly contributes to the community by giving AI and deep learning workshops and organize sprints for open source projects, at the same time contribute to open source projects including Pandas, Keras, Scikit-learn, Dateutil and maintaining her open-source library - PicknMix. Cheuk has also been a guest speaker at Universities and various conferences. Believing in gender equality, Cheuk is currently a co-organizer of AI Club for Gender Minorities to support Tech Diversity and Inclusion. This year, on top of speaking at conferences, Cheuk has been deeply involved in EuroPython as one of the organizers and master of lightning talks.
Projects
Articles
Meetups / Events
Talks
Not so long ago, I started an open source project - PicknMIx. It feels like running a start up if you are serious about it. Want to know my story? Want to check if you can do it as well? I will tell you.
Python community cares about diversity. So do we still have a problem in, especially gender, diversity? We will look at some data and see if there’s a true problem, discuss what the problem may be and how to fix it.
I am telling you 3 things about Chatbot so you don't have to learn it the hard way
PyData London
13 July 2019
Now we can talk to our gadgets as if it’s a real human. It makes you wonder when you chat with the “customer service” online, is that a real person or a robot on the other side? I built a chatbot, and here’s 3 things that I discovered.
Diversity, big deal! As an active members and event organisers (and also on the minority side of the gender) in the Python community, we have alway been concern by the question of: Do we truly have a problem in diversity? Especially, gender diversity. We would like to find out the truth, by data science, and see if we can find a clue why and how we can fix it.
Some think neural networks are magic boxes, let the computers to have a mind of its own. Beside making classifications and predictions, neural networks have also been used to creating pictures, music, jokes and plays. Can creativity, what seems to make us special, be achieved by these magic boxes?
Workshops
In this workshop, we will be using Rasa, an open source machine learning framework, to build a chatbot that will ask for an individual's contact details (compliant to GDPR) and for feedback for an event that they may have attended. Feedback will then be analyse for sentiment and reported in a basic web app.
In this workshop, through exercises, we will learn about (Deep) Reinforcement Learning and how to implement different strategies and train an agent to solve different tasks (or play games) in OpenAI Gym. For the consistency of the environment and make use of a free GPU, we will use Google Colaboratory (Google Account needed)
A step by step guide to making your first pull request (PR) in GitHub. As most open-source projects are hosted on GitHub, it will be the first thing you have to learn if you want to contribute to open-source projects. Also, you will have git setup and learn how to start using git.