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Regardless the impact machine learning techniques are having on the field, I still think is valuable to know and understand what are the classic methods that th
by emanuelev 10y ago
Regardless the impact machine learning techniques are having on the field, I still think is valuable to know and understand what are the classic methods that they are allegedly replacing.
- stared 10y agoSure. Just it's nice to know which pieces are: - considered obsolete (e.g. complicated and nasty, and still outclassed by NNs), - building blocks of current techniques, - provided inspiration for current techniques, - are still state of the art.
- rsp1984 10y agoIt is actually not about "classic" vs. "modern". A lot of what's described in the book is as relevant as ever. Mostly what's changed is that what used to be heuristics and hand-crafted features is now getting replaced by proper learned models. Also some generative models are getting replaced discriminative models since deep learning does a very good job in creating those.
- deleted 10y ago[deleted]