Masterclass: Python for Machine Learning
Python for Machine Learning Masterclass – Taught by visiting scientist Kevin Vinsen
April 16 | 2:30-4:30 pm | NW 205
Python has emerged over the last couple decades as a first-class tool for scientific computing tasks, including the analysis and visualisation of large datasets. The usefulness of Python for data science stems primarily from the large and active ecosystem of third-party packages. This half-day, hands-on course with show you the basics of the Python language and give you enough Python to be able to complete the Machine Learning half-day course.
Please register for the Masterclass by emailing email@example.com or Dr. Nicola Shaw, as limited spots are available.
Kevin Vinsen is a Senior Research Fellow at the International Centre for Radio Astronomy Research (ICRAR). ICRAR is a joint venture between Curtin University and The University of Western Australia, with funding from the State Government of Western Australia.
Kevin’s main research interests are high performance computing at the ExaScale, developing methods for the automated classification of galaxies using multi-wavelength data, machine learning algorithms and modelling complex systems. Kevin is also working with Algoma University on the AstroQuest (https://astroquest.net.au/) project.
Kevin considers himself one of the luckiest geeks on the planet. He is paid to do what he loves – astronomy and computing with some of the biggest, baddest computers on the planet. No wonder he is always smiling.
If you want to see him speak, check out his TedX Talk: https://youtu.be/7IYtwtwQw8A
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