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Learning about Machine Learning
Written on 03.05.2022 21:59 by Aleksandar Bojchevski
Dear Students,
As promised here are a few optional additional resources that cover some machine learning basics:
- 3Blue1Brown's introductory video explaining neural networks. The entire video series on neural networks, as well as his linear algebra and calculus series are also excellent.
- StatQuest's playlist of short self-contained videos on many different machine learning concepts (cross validation, bias/variance, regression, NNs, etc.) which often come with detailed step by step simple examples. You can start with the introduction video.
- The MIT 6.S191: Introduction to Deep Learning lecture series.
- Bishop's Pattern Recognition and Machine Learning book with a detailed mathematical treatment of ML (you probably don't need to go into so much details, but this book is a nice reference).
There are plenty of other resources online that you can easily find with a quick search. If you come across some resource that you find particularly valuable or helpful don't hesitate to share it with your fellow students.