Data Science Hackathon Club
Data Science Hackathon = creative ideas + data + programming (Machine Learning/Artificial Intelligence/Data Mining/Data Visualization). We will organize short video lectures, hands-on tutorials, and practice workshops. This club will support students to form teams to participate data science hackathon or competition events. What you will learn will be useful for any free-form hackathon events, finding a Data Scientist job, or creating your own start-ups. Example events: Kaggle competitions, Australian government open data hackathon. The content covers:
1) Theory: linear model, neural networks, reinforcement learning, generative models, …
2) Application: data visualization, Chat bots, poem writing program, computer music composer, game play agent, …
Everyone is welcome. Meeting every 2 weeks. Please check Blackboard Organizational announcements for more detailed content of every meeting.
|Venue||Polly Vacher, G45|
|Meeting frequency||once every 2 weeks|
|Contact||Dr. Huizhi(Elly) Liang|
This is an extracurricular activity that fosters your programming skills and algorithmic thinking, and communication skills regarding programming. These capabilities are often key to yield high-profile jobs from, e.g., Silicon Valley companies like Google.
The club to which everyone – both, little or significant programming skills – is welcome, aims to:
boost your programming confidence
prepare you better for potential future jobs and programming competitions
show that the algorithmic problem solving is fun!
Generally, the agenda for the meetings is as follows:
two new problems are introduced (one easy and one hard). These problems are to be solved alone or in teams that you may form using the programming language of *your choice*.
we discuss the problems that have been issued in the last meeting, having one of you present the approach/a solution, potentially me to provide suggestions/solution approach.
we optionally discuss a data structure or algorithm, perform live coding of a problem, etc.
If you are interested, visit this page.