归档

0012 (1)

  1. 01-01 ChatGTP (New Bing) Guidence

0011 (8)

  1. 05-01 Alg
  2. 04-01 Array Structure
  3. 03-04 (c)tree copy
  4. 03-03 (c)queue
  5. 03-02 Stack
  6. 03-01 Linear List
  7. 02-01 Graph and Network Basic
  8. 01-01 Data Structure Overview

0010 (6)

  1. 02-01 Statistics - Basis
  2. 01-05 A/B Testing - Analyze Results
  3. 01-04 A/B Testing - Design an Experiment
  4. 01-03 A/B Testing - Metrics for Experiments
  5. 01-02 A/B Testing - Policy and Ethics for Experiments
  6. 01-01 A/B Testing - Overview

0009 (9)

  1. 04-02 Database Practice Problems
  2. 04-01 LeetCode Database Practice
  3. 03-03 MySQL Doc
  4. 03-02 MySQL Doc
  5. 03-01 Sqlite Doc
  6. 02-02 (MySQL) Database Model Design
  7. 02-01 MySQL Doc
  8. 01-02 Data Cleaning 数据清洗
  9. 01-01 Basis

0008 (6)

  1. 04-01 Stationary stochastic processes
  2. 03-01 Gaussian Process Regression
  3. 02-01 Input Modeling
  4. 01-03 Probability - Advanced
  5. 01-02 Probability - Rules and Distributions
  6. 01-01 Probability - Basis

0007 (17)

  1. 10-02 Book - Factory Physics
  2. 10-01 Book - Optimizing Factory Performance
  3. 09-02 Six Sigma - DMAIC
  4. 09-01 Lean Six Sigma - Intro
  5. 04-06 ISYE6336 - TSP
  6. 04-05 ISYE6336 - Long-haul Transportation Network Design
  7. 04-04 ISYE6336 MCNF and MCMCF
  8. 04-03 ISYE6336 Berth Scheduling
  9. 04-02 ISYE6336 Ocean Freight
  10. 04-01 ISYE6336 Freight Trasnportation
  11. 03-04 Isye6334 markov chains
  12. 03-03 ISYE6334 - Uncertain Demand
  13. 03-02 ISYE6334 - EOQ Model
  14. 03-01 ISYE6334 - Newsvendor Problem
  15. 02-02 ISYE6335 - Layout of Piece-Picking from Cartons
  16. 02-01 ISYE6335 - Warehouse Basis
  17. 01-01 Basis

0006 (2)

  1. 02-01 PyClass SkeletonOfBeam Documentation
  2. 01-01 (Book Review)Concise Computer Vision - Reinhard Klette

0005 (8)

  1. 03-01 Linear Algebra in OR
  2. 02-02 Graph
  3. 02-01 Queuing Theory
  4. 01-05 Case Study for Integer Programming
  5. 01-04 Linear Programming (LP)
  6. 01-03 Nonlinear Programming
  7. 01-02 Integer Programming (IP)
  8. 01-01 Linear Programming (LP)

0004 (10)

  1. 08-01 Advanced Topcis - Kernel and HMM
  2. 07-01 Supervised Learning - Classifiers
  3. 06-03 Unsupervised Learning - Density Estimation
  4. 06-02 Unsupervised Learning - Dimensionality Reduction
  5. 06-01 Unsupervised Learning - Clustering
  6. 05-02 Improve Deep Neural Network
  7. 05-01 Neural Network
  8. 03-02 Linear and Non-Linear Regression
  9. 03-01 Regression Basis
  10. 01-01 Basis

0003 (6)

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

0002 (7)

  1. 03-01 Japanese Overall
  2. 02-02 Daily Expressions
  3. 02-01 Daily Expressions
  4. 01-04 GRE Vocabulary Part 3 - Suffix
  5. 01-03 GRE Vocabulary Part 2 - Prefix
  6. 01-02 GRE Vocabulary Part 1 - Root
  7. 01-01 GRE Vocabulary Overall

0001 (9)

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