统计学自学指南
Yale Statistics312/612: Linear Models
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stats-self-learning
统计学自学指南
stats-self-learning
前言
一个仅供参考的学习建议
数学分析(微积分)
数学分析(微积分)
MIT 18.01/18.02: Calculus
高等代数(线性代数)
高等代数(线性代数)
MIT 18.06: Linear Algebra
Algebra
初等数论
初等数论
MIT 18.781: Theory Of Numbers
微分方程
微分方程
MIT 18.03: Differential Equations
MIT RES.18-009: Learn Differential Equations: Up Close With Gilbert Strang And Cleve Moler
矩阵数值分析
矩阵数值分析
MIT 18.065: Matrix Methods In Data Analysis, Signal Processing, And Machine Learning
Stanford CS205A: Mathematical Methods for Computer Vision, Robotics, and Graphics
UW CSE559I: The art and science of positive definite matrices
MIT 18.330 : Introduction to numerical analysis
概率论与随机过程
概率论与随机过程
NTHU MATH2810: Probability
Yale Statistics251/551: Stochastic Process
MIT 6.262:Discrete Stochastic Processes
UIUC Math564: Applied Stochastic Processes
UCB CS126: Probability theory
MIT 6.041SC: Probabilistic Systems Analysis And Applied Probability
Supplementary
高等概率论与测度论
高等概率论与测度论
UA Stat571: Probability and Measure
IMPA: Measure Theory
Supplementary
统计推断与数理统计
统计推断与数理统计
NTHU MATH2820: Statistics
UCB Statistics210: Theoretical Statistics
UW STAT512: Introduction to Statistical Inference
Stanford Stat300: Theory of Statistics
Supplementary
凸优化
凸优化
Stanford EE364A: Convex Optimization
CMU Convex Optimization
多元统计分析
多元统计分析
NTHU STAT5191: Applied Multivariate Analysis
机器学习
机器学习
NTU Machine Learning
Coursera: Machine Learning
Stanford CS229: Machine Learning
Supplementary
时间序列分析
时间序列分析
UA Stat479: Time Series Analysis
离散数学与应用概率论
离散数学与应用概率论
UCB CS70: discrete Math and probability theory
信息论相关
信息论相关
MIT 6.050J: Information theory and Entropy
The Information Theory, Pattern Recognition, and Neural Networks
数据科学
数据科学
UCB Data100: Principles and Techniques of Data Science
UCB Data 8: Foundations of Data Science
实验设计与分析
实验设计与分析
UA Stat568: Design and Analysis of Experiments
NTHU STAT5510: Experimental Design and Analysis
线性模型
线性模型
NTHU STAT5410: Linear Models
UA Stat378: Applied Regression Analysis
Yale Statistics312/612: Linear Models
Yale Statistics312/612: Linear Models
Statistics 312/612, FALL 2016 (yale.edu)
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