Zhixi Chen

Zhixi Chen

Ph.D. Student @ College of Computing and Data Science, Nanyang Technological University
ch0015xi [at] e.ntu.edu.sg

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20 posts, grouped by topic and course.

Agenda 1 post
2024 Spring Planned Taking Course
Course Homework 1 folder · 1 post
Data Analytics ( IE5054 ) HW 1 post
Data Analytics Homework 03
Course Notes 5 folders · 18 posts
Multimodal AI (CSIE5412) 1 post
Multimodal Artificial Intelligence Lecture 1
Deep Learning for Computer Vision ( COMME5052 ) 3 posts
Deep Learning for Computer Vision Lecture 3 Deep Learning for Computer Vision Lecture 2 Deep Learning for Computer Vision Lecture 1
Game Theory ( FIN7035 ) 6 posts
Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) Game Theory with Applications to Finance and Marketing I, Lecture 5 Notes (oct. 20) Game Theory with Applications to Finance and Marketing I, Lecture 3 & 4 Notes (Oct. 06, Oct. 13) Game Theory with Applications to Finance and Marketing I, Lecture2 Notes (Sep. 29) Game Theory with Applications to Finance and Marketing I, Lecture1 Notes(Sep. 22)
Data Analytics ( IE5054 ) 7 posts
DA06 Supervised Learning DA04 Dimension Reduction, Part IV DA04 Dimension Reduction, Part III DA04 Dimension Reduction, Part II DA04 Dimension Reduction, Part I DA03 Multivariate Statistical Inference DA02 Regression Analysis
Machine Learning ( EE5184 ) 1 post
Machine Learning Lecture 8 Auto Encoding

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Computer Science 4
Deep Learning for Computer Vision Lecture 3 Deep Learning for Computer Vision Lecture 2 Deep Learning for Computer Vision Lecture 1 Machine Learning Lecture 8 Auto Encoding
Data Analysis 8
DA06 Supervised Learning DA04 Dimension Reduction, Part IV DA04 Dimension Reduction, Part III DA04 Dimension Reduction, Part II Data Analytics Homework 03 DA04 Dimension Reduction, Part I DA03 Multivariate Statistical Inference DA02 Regression Analysis
Deep Learning 3
Deep Learning for Computer Vision Lecture 3 Deep Learning for Computer Vision Lecture 2 Deep Learning for Computer Vision Lecture 1
Finance 6
Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) Game Theory with Applications to Finance and Marketing I, Lecture 5 Notes (oct. 20) Game Theory with Applications to Finance and Marketing I, Lecture 3 & 4 Notes (Oct. 06, Oct. 13) Game Theory with Applications to Finance and Marketing I, Lecture2 Notes (Sep. 29) Game Theory with Applications to Finance and Marketing I, Lecture1 Notes(Sep. 22)
Game Theory 6
Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) Game Theory with Applications to Finance and Marketing I, Lecture 5 Notes (oct. 20) Game Theory with Applications to Finance and Marketing I, Lecture 3 & 4 Notes (Oct. 06, Oct. 13) Game Theory with Applications to Finance and Marketing I, Lecture2 Notes (Sep. 29) Game Theory with Applications to Finance and Marketing I, Lecture1 Notes(Sep. 22)
Homework 1
Data Analytics Homework 03
Lecture Note 17
Multimodal Artificial Intelligence Lecture 1 Deep Learning for Computer Vision Lecture 3 Deep Learning for Computer Vision Lecture 2 Deep Learning for Computer Vision Lecture 1 Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) DA06 Supervised Learning DA04 Dimension Reduction, Part IV DA04 Dimension Reduction, Part III DA04 Dimension Reduction, Part II DA04 Dimension Reduction, Part I DA03 Multivariate Statistical Inference DA02 Regression Analysis Game Theory with Applications to Finance and Marketing I, Lecture 5 Notes (oct. 20) Game Theory with Applications to Finance and Marketing I, Lecture 3 & 4 Notes (Oct. 06, Oct. 13) Game Theory with Applications to Finance and Marketing I, Lecture2 Notes (Sep. 29) Game Theory with Applications to Finance and Marketing I, Lecture1 Notes(Sep. 22)
Machine Learning 1
Machine Learning Lecture 8 Auto Encoding
Math 6
Game Theory with Applications to Finance and Marketing I, Lecture 7 Notes (Nov. 4) Game Theory with Applications to Finance and Marketing I, Lecture 6 Notes (Oct. 27) Game Theory with Applications to Finance and Marketing I, Lecture 5 Notes (oct. 20) Game Theory with Applications to Finance and Marketing I, Lecture 3 & 4 Notes (Oct. 06, Oct. 13) Game Theory with Applications to Finance and Marketing I, Lecture2 Notes (Sep. 29) Game Theory with Applications to Finance and Marketing I, Lecture1 Notes(Sep. 22)
Multimodal AI 1
Multimodal Artificial Intelligence Lecture 1
Personal Agenda 1
2024 Spring Planned Taking Course
Statistics 7
DA06 Supervised Learning DA04 Dimension Reduction, Part IV DA04 Dimension Reduction, Part III DA04 Dimension Reduction, Part II DA04 Dimension Reduction, Part I DA03 Multivariate Statistical Inference DA02 Regression Analysis