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ForceBru t1_j3gfgvo wrote

Reply to comment by Immarhinocerous in [Discussion] Is there any alternative of deep learning ? by sidney_lumet

> Read up on boosting.

What could a good reading list look like? I read the original papers which introduced functional gradient descent (the theoretical underpinning of boosting), but I can't say they shed much light on these techniques for me.

Is there more recommended reading to study boosting? Anything more recent, maybe? Any textbook treatments?

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Immarhinocerous t1_j3gkq83 wrote

Google is your friend here. ChatGPT may even give a decent response.

Start by learning bagging, then learn boosting.

I find the following site fairly good: https://machinelearningmastery.com/essence-of-boosting-ensembles-for-machine-learning .

The explanations are usually approachable, or the author usually has another article on the topic at a simpler level of detail. He has good code samples, many of his articles also go quite in depth, so he caters to a broad range of audiences and is good at sticking with a certain level of depth in a topic in his articles. I've even bought some of his materials and they were fairly good, but his free articles are plenty.

There are lots of other sites you can find that will teach you. Read a few different sources. They're worth understanding well. Since you stated you've read papers on gradient descent, you might find some helpful papers by searching scholar.google.com.

This is also a good place to start: https://www.ibm.com/topics/bagging

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