Thanks for the post Claire, quite useful to get a holistic sense of the main algorithms. The one thing I would ask is do you see any set of core concepts that underlie the main algorithms in ML. Beyond just Linear Algebra and probability, more like the main concepts to grasp so that all the algorithms can be chunked into more digestible categories? Cheers and thanks for the food for thought!

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AI engineer at K1 Digital and co-organizer of the Deep Learning Sessions meet up in Lisbon. AI |Computer Vision| Data Science| Productivity | Learning

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