https://github.com/zhanpenghe/usc-cs-courses

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https://github.com/zhanpenghe/usc-cs-courses

android angular4 artificial-intelligence coursework knowledgebase minimax nodjs robotics searching-algorithms usc webtechnology

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• Host: GitHub
• URL: https://github.com/zhanpenghe/usc-cs-courses
• Owner: zhanpenghe
• Created: 2017-09-16T05:48:53.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-30T05:02:08.000Z (about 2 years ago)
• Last Synced: 2023-03-04T03:52:46.345Z (almost 2 years ago)
• Topics: android, angular4, artificial-intelligence, coursework, knowledgebase, minimax, nodjs, robotics, searching-algorithms, usc, webtechnology
• Language: Python
• Size: 21.8 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 16
• Metadata Files:
  • Readme: README.md

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README

        
# USC-Master-Courses

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#### 2017FALL:

* [CSCI 561: Foundations of Artificial Intelligence](csci561/)

  * [HW1](csci561/HW1): Searching algorithms(BFS, DFS, SA) for playing a game alike N-Queens.

  * [HW2](csci561/HW2): Minimax algorithms for playing the Fruit Rage game.

  * [HW3](csci561/HW3): A knowledge base that uses first-order logic and resolution for inference.

* [CSCI 571: Web Technologies](csci571/)

#### 2018SPRING:

* [CSCI 544: Applied Natural Language Processing](csci544/)

* [CSCI 545: Robotics](csci545/)

#### 2018FALL:

* [CSCI 567: Machine Learning](csci567/)

  * [P1](csci567/P1): K nearest neighbor (KNN) and linear regression.

  * [P2](csci567/P2): Logistic regression and some neural network (mlp, cnn with backprop).

  * [P3](csci567/P3): Decision trees and boosting (specifically, Adaboost).

  * [P4](csci567/P4): K means and gaussian mixture models (GMM).

  * [P5](csci567/P5): Hidden markov model (HMM) and principal component analysis (PCA).