Question: [summarized] How to do you keep up with the barrage of information in Machine Learning and Deep Learning?
Answer: [Arthur Chan] I would go with one basic tutorial first – depends on my need, keep on absorbing new material. e.g. I first start from Ng’s class, since I need to learn more about DL on both CV and NLP, I listen to Kapathy’s and Socher’s. Sooner/later you would feel those classes are not as in-depth, that’s when I took the Hinton’s class. For interest, I audit Silver’s class as well.
But narrow it down, one thing at a time. Choose quality material first rather than following sensational hyped news. As you learn more, your judgement would improve on a topic. Then you can start to come up with a list of resources you want to go through.
For a detailed discussion and answers from other members refer to the original post
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