Mathematics of Machine Learning (Part 2)

This is Part 2 of our 'Mathematics of Machine Learning' series. The first part was hosted on 7th Jan, 2018, and more details about the topics covered in that session can be found here:
www.meetup.com/Women-Who-Code-Delhi/events/243547748/

This session is about:

1. Quick recap of Part 1
2. Logistic Regression
3. Artificial Neural Networks ( Backpropagation algorithm, activation functions etc.)
4. ConvNets, RNNs + brief overview of further applications (if time permits)

Further details (installation requirements, other prerequisites) , if any, shall be updated soon!

Note : If you have attended Part 1 and/or are familiar with the topics covered in Part 1, then this session is for you. If you are a complete beginner, it might help to familiarize yourself with the basics covered in the previous session.