2022 Deep Learning and Computer Vision Lecture 3 In this lecture, we will continue to go through CNN and its applications. Moreover, we will delve into other tricks and designs that increase the p...

2022 Deep Learning for Computer Vision Lecture2 In this lecture, we will glance at Neural Networks & CNN. Let’s get started. Recap: Linear Regression Firstly we can recap the linear regressi...

2022 Deep Learning for Computer Vision Lecture1 In this lecture, We shall review some basic machine learning concepts. And, some techniques. Example: Testing of COVID-19 When testing of COVID-...

Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) In this part, we shall continue to discuss continuous Lecture 1-1 questions. Question 1::并购问题 在商业赛局中，并购是一个很重要的问...

Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) Continue to Lecture 5, we shall still work on dealing with all sorts of games. Bertrand Game 在Bertrand Game中，同...

DA06 :: Supervised Learning In DA06, we shall talk about supervised learning methods. Common Procedure of Data Analytics Domain Studying: Consider what you are studying. May related to some...

DA04 Dimension Reduction :: Part IV, Partial Least Squares Regression In this note, we shall talk the last part of Dimension Reduction, which is Partial Least Squares Regression, (PLSR) . We need...

DA04 Dimension Reduction :: Part III, Factor Analysis In this part, we will introduce another dimension reduction technology, Factor Analysys. FA and PCA … What Different ? Recall that PCA is to...

DA04 Dimension Reduction :: Part II, Principal Component Analysis In this note, we shall talk about the most popular and the most important technology in dimension reduction, which is, Principal...

Data Analytics Homework 03 This is my personal answer to homework03, Data Analytics. Question 6 In a multiple regression model $y = X\beta + \epsilon$, it is critical to know if $(X^TX)^{-1}$ ex...