What happens if we could teach a computer how to learn? Machine learning is shaping our everyday lives and the decisions we make. This workshop gives you a brief introduction to the machine learning concept, and discuss some of the latest application in the industry.

Key points to discuss

  • How Data Science, Machine Learning and Artificial Intelligence are changing the workforce structure today and into the future?
  • What happens when we teach a computer how to learn?
  • AI machine learning using python.

Who is this for

Absolute beginner in machine learning, who wants to learn the basic concepts and application of machine learning.


Date: 2019-08-01
Time: 7:00pm – 9:30pm
Address: 4/F Tung Hip Commercial Building, 244-248 Des Voeux Road Central, Sheung Wan
Cost: Free of charge




Andrew Ho / Tech Investor / CEO @ Code for Hong Kong
Andrew is a tech investor and serial entrepreneur. He holds a Bachelor’s Degree and a Master’s Degree from the London School of Economics (LSE) and Cass Business School. He is a practitioner of Python and R and also dives into aspects of deep learning and NLP. His passion is to help businesses become more streamlined and as tech-driven as possible. He has a strong belief that we are the ones who are going to define how we should live, not the technology itself.



Dr. Anushree Mahapatra / Machine Learning Instructor / PhD Computer Engineering
Anushree is passionate about combining machine learning techniques with conventional algorithms. With a research background in algorithms for convex optimization and graph methodologies, she loves to challenge herself with problems and predictions from machine learning and identify key problems essential to maximum productivity with applied machine learning.


Patrick Leung / Machine Learning Instructor
Patrick enjoys solving problems with statistics and machine learning. He is currently a data scientist at a machine learning startup, specializing in quantitative modelling, text classification, and data visualization. Prior to that, he was a quantitative modeler for over four years in the sports trading industry, where he designed and developed predictive models and automated trading tools. Patrick firmly believes in the power of data science and the potential of its profound impact on the world.