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How to quickly get an overview of machine learning methods?
How/where can I get a quick overview of machine learning methods?
I have a good mathematical and engineering background.
But now I have to make decisions as a manager.
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the wiki is quite short and understandable
https://en.wikipedia.org/wiki/%D0%9C%D0%B0%D1%88%D...
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but don't take it to heart if you have no experience , give the task to those who have already done these things. Otherwise, for such decisions, the developers themselves can harbor fierce anger at you)
What is "receive"? As I understand it, they "receive" an education. You ask - where to study? Well then it would be nice to know where you live, your current education level and (as usual for IT majors) your level of English.
And if "to get" is to master it yourself - well, there are just a lot of resources on the Internet:
www.7wdata.be
https://www.datasciencecentral.com
https://datascienceplus.com
https://www.kdnuggets.com
https: //www.analyticsvidhya.com
https://towardsdatascience.com
and so on......
Written just now
Dmitry Kaygorodov , try to get acquainted with a cool review of the main ML methods:
https://vas3k.ru/blog/machine_learning/
The review is called "Machine learning for people", and, indeed, the text is written very vividly and interestingly. Read in one breath.
The author himself describes the article as "a great introduction for those who want to finally understand machine learning - in simple language, without theorem formulas, but with examples of real problems and their solutions."
The way it is. Good luck!
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