Zhekai Li

Categories

ChatGTP

  1. 0011-12-31 ChatGTP (New Bing) Guidence

Computer-Vision

  1. 0006-01-31 PyClass SkeletonOfBeam Documentation
  2. 0005-12-31 (Book Review)Concise Computer Vision - Reinhard Klette

Data-Structures-and-Algorithm

  1. 0011-03-31 Array Structure
  2. 0011-03-01 Stack
  3. 0011-02-28 Linear List
  4. 0011-01-31 Graph and Network Basic
  5. 0010-12-31 Data Structure Overview

Database

  1. 0009-04-01 Database Practice Problems
  2. 0009-03-31 LeetCode Database Practice
  3. 0009-03-02 MySQL Doc
  4. 0009-03-01 MySQL Doc
  5. 0009-02-01 (MySQL) Database Model Design
  6. 0009-01-31 MySQL Doc
  7. 0009-01-01 Data Cleaning 数据清洗

Grasshopper-Development

  1. 0003-01-31 Grasshopper Basis
  2. 0003-01-05 Grasshopper Development-C#-06 Errors
  3. 0003-01-04 Grasshopper Development-C#-05 Tricks
  4. 0003-01-03 Grasshopper Development-C#-04 Write Own Class
  5. 0003-01-02 Grasshopper Development-C#-03 Simple Plug-in for Grasshopper Using VS
  6. 0002-12-31 Grasshopper Development-C#-01 Introduction

Language-Learning

  1. 0002-02-28 Japanese Overall
  2. 0002-02-01 Daily Expressions
  3. 0002-01-31 Daily Expressions
  4. 0002-01-03 GRE Vocabulary Part 3 - Suffix
  5. 0002-01-02 GRE Vocabulary Part 2 - Prefix
  6. 0002-01-01 GRE Vocabulary Part 1 - Root
  7. 0001-12-31 GRE Vocabulary Overall

Linear-Algebra

  1. 0001-03-31 LA Basis - Some Math Concepts
  2. 0001-03-04 Math415 Final Review Sample
  3. 0001-03-03 Math415 Midterm-3 Review
  4. 0001-03-02 Math415 Midterm-2 Review
  5. 0001-02-28 Math415 Discussions and Homeworks
  6. 0001-02-02 Math415 Week 11-14
  7. 0001-02-01 Math415 Week 06-10
  8. 0001-01-31 Math415 Week 01-05
  9. 0000-12-31 TextBook - Introduction to Linear Algebra

Machine-Learning

  1. 0004-07-31 Advanced Topcis - Kernel and HMM
  2. 0004-06-30 Supervised Learning - Classifiers
  3. 0004-06-02 Unsupervised Learning - Density Estimation
  4. 0004-06-01 Unsupervised Learning - Dimensionality Reduction
  5. 0004-05-31 Unsupervised Learning - Clustering
  6. 0004-05-01 Improve Deep Neural Network
  7. 0004-04-30 Neural Network
  8. 0004-03-01 Linear and Non-Linear Regression

Operation-Research

  1. 0005-02-28 Linear Algebra in OR
  2. 0005-02-01 Graph
  3. 0005-01-31 Queuing Theory
  4. 0005-01-04 Case Study for Integer Programming
  5. 0005-01-03 Linear Programming (LP)
  6. 0005-01-02 Nonlinear Programming
  7. 0005-01-01 Integer Programming (IP)
  8. 0004-12-31 Linear Programming (LP)

Probability-Theory

  1. 0008-02-29 Gaussian Process Regression
  2. 0008-01-31 Input Modeling
  3. 0008-01-02 Probability - Advanced
  4. 0008-01-01 Probability - Rules and Distributions
  5. 0007-12-31 Probability - Basis

Statistics

  1. 0010-01-31 Statistics - Basis
  2. 0010-01-04 A/B Testing - Analyze Results
  3. 0010-01-03 A/B Testing - Design an Experiment
  4. 0010-01-02 A/B Testing - Metrics for Experiments
  5. 0010-01-01 A/B Testing - Policy and Ethics for Experiments
  6. 0009-12-31 A/B Testing - Overview

Supply-Chain

  1. 0007-10-01 Book - Factory Physics
  2. 0007-09-30 Book - Optimizing Factory Performance
  3. 0007-09-01 Six Sigma - DMAIC
  4. 0007-08-31 Lean Six Sigma - Intro
  5. 0007-04-05 ISYE6336 - TSP
  6. 0007-04-04 ISYE6336 - Long-haul Transportation Network Design
  7. 0007-04-03 ISYE6336 MCNF and MCMCF
  8. 0007-04-02 ISYE6336 Berth Scheduling
  9. 0007-04-01 ISYE6336 Ocean Freight
  10. 0007-03-31 ISYE6336 Freight Trasnportation
  11. 0007-03-02 ISYE6334 - Uncertain Demand
  12. 0007-03-01 ISYE6334 - EOQ Model
  13. 0007-02-28 ISYE6334 - Newsvendor Problem
  14. 0007-02-01 ISYE6335 - Layout of Piece-Picking from Cartons
  15. 0007-01-31 ISYE6335 - Warehouse Basis

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