Xiaoyang-Rebecca/GrokkingCodeInterview

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Created over 4 years ago
Updated about 4 years ago

Xiaoyang-Rebecca/GrokkingCodeInterview

Xiaoyang-Rebecca

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Educative.io/Grokking the Coding Interview: Patterns for Coding Questions

PatternRecognition_Matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Artificial-intelligent

In the Pick-up and Drop-off (PD) World, our goal is to design a route from the agent so that it could use the least steps to send all the blocks to drop-off cells. To solve reinforcement learning problems, we use a statistical approach and dynamic programming, especially Q-learning, to estimate the utility of taking actions in the states of the world. The given system setup is run for 6 different experiments that use different learning rates and policies.

DeepEraser

xiaoyang-rebecca.github.io

http://xiaoyang-rebecca.github.io