Hello! I am a Berkeley student waitlisted for Stat 157. Any resources for me to prepare over winter break before the course starts? What should be important/helpful to review/learn, assuming all prerequisites are met through courses?
Go bears! You might want to check out the following resources if you have some experience with deep learning/machine learning and deep learning frameworks i.e you’ve taken CS 189 or higher.
- Gluon Crash Course: https://beta.mxnet.io/guide/crash-course/index.html
- Gluon! the straight dope - Intro to deep learning https://gluon.mxnet.io/
I’m not sure what the pre-reqs for the course is but if you haven’t taken CS 189 then it might be a good idea to review past 189 course websites, lecture notes etc. especially the neural networks portion in the final third of the class.
Hope that helps. Feel free to post any follow up questions on here.