Statistical Learning-Enlightenment
Statistical learning is a machine learning theory with statistics as its core method. This course mainly introduces the basic knowledge, common models, and applications of statistical learning, from the simplest linear models to the current complex large language models. In addition to explaining the theory, there are also algorithmic implementations and paper interpretations. At the same time, it explains the use of statistical learning-related computer languages and packages. I hope this course can guide you into the era of artificial intelligence.
Repository: https://gitee.com/williamzjc/statistical-learning
Repository: https://gitee.com/williamzjc/statistical-learning
Lecturer
Date
18th September ~ 13th December, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday,Wednesday | 13:30 - 15:05 | A3-1a-204 | ZOOM 08 | 787 662 9899 | BIMSA |
Prerequisite
Linear Algebra, Real Analysis, Probability Theory, Statistics
Reference
Elements of Statistical Learning，Statistical Learning Theory
Video Public
Yes
Notes Public
Yes
Language
Chinese
, English
Lecturer Intro
Congwei Song received the master degree in applied mathematics from the Institute of Science in Zhejiang University of Technology, and the Ph.D. degree in basic mathematics from the Department of Mathematics, Zhejiang University, worked in Zhijiang College of Zhejiang University of Technology as an assistant from 2014 to 2021, from 2021 on, worked in BIMSA as asistant researcher. His research interests include machine learning, as well as wavelet analysis and harmonic analysis.