This open study group is designed as the most low-hurdle event.
You can bring your lap top to learn the featured topic with us, or bring own problem sets/materials to work on. It would be a chance to interact and work together for any topic related to data science with HBDC members .
This week we will focus on Julia, an Ultrafast programming language.
If you came to the workshop last week, this will be a great chance to deepen your understanding.
If you didn't, this is a perfect chance for you to learn the basics!
Study materials we are going to use (Kindly provided by Kevin Bonham):
Possible projects to work on during the study group:
- Reproduce the performance comparison with other languages (R/Python/Matlab/C) for simple calculation (e.g. for loop / vector calculation)
- Simple plot of Iris data using Julia, and custumize the plot with different colors/annotations
- Basic machine learning using Julia, with Iris data (e.g. SVM / Logistic Regression / Random Forest)
Join our Slack channel for discussions: