-THIS IS MY FIRST GITHUB PROJECT-
HELLO!
You can't miss: My Personal Website
You are also welcomed to view this Csdiy Discussions Section - and pay specially attention to "See How I've Solved This" Sector~
Here are something fun about SUFE-rep's Wiki. Come and check STATDIY
[Mar12 2023]
Update: This is where the journey begins, with CS61A and more.
[Mar23 2023]
Note: Some of the materials' copyrights are owned by the lectureres or any publisher. This rep is intended for study use only. Please contact me if there is any copyright infringement.
(Perhaps I'd better just attatch that wiki directly here and keep it updated)
I am trying to start a wiki here to list some useful information, websites or other materials for stat learning.
Join the discussions to give your recommendations!
💻[Website]: STAT505 Applied Multivariate Statistical Analysis, PennSU
📖[Books]: Casual Inference - The Mixtape (Scott)
🖊️[Lecture Notes]: Statistical Methods for Machine Learning (CMU)
📺[Videos]: 18.065:Linear Algebra and Learning from Data, Gilbert Strang
📖[Books]: Elements of Statistical Learning
📺[Videos]: 现代数字信号处理_张颢 (Machine Learning from Singal Processing Prospect)
📖[Books]: 机器学习实战：基于Scikit
💻[Website]: STAT508 Applied Data Mining and Statistical Learning, PennSU
📖[Books]: python 数据科学项目实战
📺[Vedios]: PyTorch 深度学习实践（刘二大人）
📺[Vedios]: PyTorch深度学习快速入门教程（绝对通俗易懂！）【小土堆】
👩💻[Uploaders]: bilibili-霹雳吧啦Wz
👩💻[Uploaders]: bilibili-Bubbliiiing
👩💻[Uploaders]: DASOU讲AI
💻[Website]: Stanford CS231n: Convolutional Neural Networks for Visual Recognition, Stanford
💻[Website]: UCB CS294: Deep Reinforcement Learning, UCB
📖[Books]: Natural Language Processing with Transformers - Building Language Applications with Hugging Face (Lewis Tunstall, et al.)
📺[Vedios]: 手把手带你实战HuggingFace Transformers-入门篇
📖[Books]: SQL进阶教程
📖[Books]: Hive
📖[Books]: Mathematical Analysis (V. A. Zorich)
📖[Books]: Principles of Mathematical Analysis (WALTER RUDIN)
📖[Books]: Numerical Analysis (Timothy Sauer)
📖[Books]: Real Analysis: Modern Techniques and Their Applications (Gerald B. Folland)
💻[Website]: Convex Optimization: Fall 2019, CMU
📺[Videos]: 凸优化, 中科大
📖[Books]: 算法(红宝书第四版)
📖[Books]: 图解算法
📖[Books]: C Primer Plus
📖[Books]: 鸟哥的Linux私房菜
📖[Books]: Linux就该这么学
📖[Books]: Yale N. Patt and Sanjay J. Patel, Introduction to Computing Systems: from bits and gates to C and beyond, 2nd Edition, McGraw-Hill, 2003.
📖[Books]: Science research writing for non-native speakers of english
Note: For some of the books mentioned above, you might not be suprised to find them here.
LAST BUT NOT LEAST:
今でもあなたは私の光。