Who: All 7C students & faculty
When: 5:45 to 7:45 pm on 7 consecutive Wednesdays from Oct 2nd to Nov 13th
Where: Aviation Room, Hoch-Shanahan Dining Commons, HMC
Why: To learn machine learning techniques and related tools in Python!
The workshop series is designed with a focus on the practical aspects of machine learning using real-world datasets using the tools in the Python ecosystem. It is targeted towards complete beginners familiar with Python but is also designed adaptively so that you will be challenged even if you have some familiarity with machine learning tools.
You will learn the minimal but most useful tools for exploring datasets using pandas quickly and then move on to the conventional machine learning algorithms and other related concepts that comes in handy for all models including neural networks. The neural networks will be introduced gently from the fourth session onwards and you will learn some more involved architectures such as Convolution Neural Networks (CNN) and apply them to real-world datasets. The sessions will be a good mix of theory explained intuitively in a simplified manner and hands-on exercises.
If you are interested, please have a look here for more information on the series, including the topics to be covered. Seats are limited, please register using this link. The only prerequisites are python programming and basics of probability and statistics. It is important that you attend all the sessions of the series for it to be useful.