At the invitation of Guangzhou Teddy Technology Co., Ltd., I have recorded a pre-competition training video for the Teddy Cup Data Mining Competition. The content primarily covers various common mathematical models and their introductory applications. Using a relatively unique perspective, I have connected concepts such as Naive Bayes, Hidden Markov Models (HMM), Logistic Regression, ensemble models, neural networks, deep learning, and more. The difficulty level of the video explanation is introductory; however, to truly integrate and master all the content would likely require a veteran level of expertise.
In any case, I am sharing it here briefly. Everyone is welcome to leave comments for discussion, suggestions, or even criticism.
PPT Download: Teddy Cup Pre-competition Training PPT.zip
Video Address: http://moodle.tipdm.com/course/view.php?id=18
When reposting, please include the original address of this article: https://kexue.fm/archives/4271
For more detailed information regarding reposting, please refer to: Scientific Space FAQ