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For book details, please see: https://blog.csdn.net/ddnosh/article/details/107666187
Hello everyone, I am free brother.
The learning materials I bring to you today are: 2020 Deep Eyes Global AI Competition Practical Training Camp
Introduction
Through 8 weeks of intensive study, learn the practical methods and processes of the primary to advanced AI competition, and be able to understand how to try to improve the ranking/score during the competition. And apply the knowledge he learned to the new competition.
First introduce what Kaggle is.
Kaggle is a popular data science competition platform, which was founded in 2010 by Goldbloom and Ben Hamner.
There has always been a problem in the data science community: for the same problem, there can be multiple models to solve it, but it is impossible for researchers to understand which model is the best from the beginning.
Kaggle was born to solve this problem, and it solves this problem through crowdsourcing.
So what does this kind of crowdsourcing look like? The questioner puts the question on the Internet, summons the answerers to give a solution, selects the appropriate one from the answerers and gives a certain reward. This is a bit like the current Zhihu and Zhubajie platforms.
We look at the weekly skill learning schedule:
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