The Machine Learning specilization covers a few shallow learning algos. I am aware there are many more. Which ones are still relevant today and worth me learning?
Thankyou!
Consider taking Deep Learning Specialization.
Sorry, I did not see your response. I was thinking more of things like k-nearest neighbours and naive bayes, not covered in the ML specialization. Are they still relevant today and worth devoting time to over NNs?
The 3rd course of MLS covered the K-Means algorithm but I don’t know about the k-nearest neighbours.
This is covered in the first course of NLP. But I don’t like it 
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