The Science and Data specialist track focuses on the use of Python in data analysis, scientific programming and machine learning. If you’re processing and understanding data, be it statistical analysis, visualisation or machine learning then there’s a plethora of Python based tools available to you. The Data Science track is for people in the data science industry, in academia or generally interested in using Python to gain insights from your data.
Talks in this track:
- Understanding GPUs Varun Nayyar
- Learn to control your brain: Brain Computer Interfacing with Python Johan van der Meer
- Extracting tabular data from PDFs with Camelot & Excalibur Vinayak Mehta
- Building, designing, teaching and training simulation environments for Machine Learning Paris Buttfield-Addison
- Machine Learning and Cyber Security - Detecting malicious URLs in the haystack Alistair and Veatrissa L.
- Not a long time ago, in a galaxy not very far away, an astronomer and a computer scientist walk into a bar… Georgios Bekiaris
- Forecasting Australia’s 2019 Election with PyMC3 Martin Burgess
- cuDF: RAPIDS GPU-Accelerated Dataframe Library Mark Harris
- Using Dash by Plotly for Interactive Visualisation of Crime Data Leo Broska
- You don’t always need NumPy Sam Hames