Cheuk Ting Ho
Cheuk constantly contributes to the community by giving AI and deep learning workshops, organize sprints for open source projects, volunteering at Datakind for charities. At the same time contribute to open source projects including Pandas, Keras, Scikit-learn and Dateutil. Cheuk has also been a guest speaker at University of Oxford and Queen Mary University of London, and various conferences including PyData in Amsterdam and Berlin, PyCon in Israel, UK and Germany, EuroPython and PyLondinium. Believing in gender equality, Cheuk is currently a co-organizer of AI club for Gender Minorities to support Tech Diversity and Inclusion.
By engaging in the revolution of AI and deep learning, reinforcement learning has also evolved from being able to solve simple game puzzles to beating human records in Atari games. It has also opened up the possibility of using reinforcement learning in making real life decisions.
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.
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.