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Machine learning is shaping our everyday lives and the decisions we make. You will be able to build your own AI model by completing this course.

Who is this for

  • Business person looking to solve problems in machine learning
  • Experienced programmers who wants to switch career to machine learning

Prerequisites

  • Some experience coding in python
  • Mastery of intro-level algebra, comfortable with statistics, variables, coefficients, linear equations (Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)

What will you learn

You will learn the basic of python programming, including variables, functions, loops & some basic libraries. At the end of the course, you will need to complete a project of your own & a final exam to get the certificate.

Using the right tools

You will be using the same tools used by the best technology startups. You will communicate via Slack, coding on Jupyter/Colab, and manage your code on Github.

Build your portfolio

All homework will be done via Github – We will help you to build your coding portfolio in the developer way.

Details

Date: 2019-03-16 to 2019-04-20 (24 Hours lectures, 6 weekend classes)
Time: Every Saturday (9:00am – 1:00pm)
Address: Central
Cost: HKD 16,800

Instructors

albert

Dr. Albert Au Yeung

Albert has been a machine learning reseacher and engineer for more than 10 years. He is specialised in machine learning, recommendation systems, and natural language processing. He held research positions at NTT Communication Science Labs in Kyoto, and ASTRI and Huawei Noah’s Ark Lab in Hong Kong. Albert is also a part time lecturer at the Chinese University of Hong Kong, teaching machine learning and network programming in Python

patrick

Patrick Leung

Patrick enjoys solving problems with statistics and machine learning. He is currently a data scientist at a machine learning startup, specialising in quantitative modelling, text classification and data visualisation. Prior to that, he was a quantitative modeler for 4+ 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.