The host has requested RSVPs for this event

Zoom link: https://unimelb.zoom.us/j/85048594619...

This recurring event is for all remaining sessions of the Google ML Crash Course study group, which are on Tuesdays between 7:00 and 8:00 PM. The discussions will be facilitated mainly by Youyou Tian with assistance from Ben Auer.

The entire curriculum can be found at the following page:
https://developers.google.com/machine-learning/crash-course

Please complete as much as you can of the designated modules (including videos, readings and activities) before each discussion session.

If you have any questions relating to the content in the program please don't hesitate to write them in the following document where you can be assisted by facilitators or other participants: https://docs.google.com/.../1_4LOEN9.../edit...

The schedule for the program will be as follows (all intervals inclusive):

17th Jan (Week 2): 'First Steps with TF' to 'Validation Set':
https://developers.google.com/.../first-steps.../toolkit

24th Jan (Week 3): 'Representation' to 'Feature Crosses':
https://developers.google.com/.../represent.../video-lecture

31st Jan (Week 4): 'Regularization: Simplicity' to 'Logistic Regression'
https://developers.google.com/.../playground-exercise...

7th Feb (Week 5): 'Classification'
https://developers.google.com/.../classific.../video-lecture

14th Feb (Week 6): 'Regularization: Sparsity' to 'Neural Networks'
https://developers.google.com/.../regulariz.../video-lecture

21st Feb (Week 7): 'Training Neural Nets' to 'Embeddings'
https://developers.google.com/.../training.../video-lecture

28th Feb (Week 8): 'ML Engineering (Production ML Systems)' to 'Conclusion (Next Steps)':
https://developers.google.com/.../production-ml-systems

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