Portfolio

MATH

• Bayesian Methods_for_Data_Analysis
• [Theory] Some Key Concepts in Discrete Time Markov Chain
• [Theory] An Efficient Sampling Method: Revisiting Markov Chain Monte Carlo (MCMC)
• [Theory] An Breif Introduction to Group, Subgroup, and Coset
• [Theory] Matrix Norm
• [NOTES] Orthogonal Matrices, Eigenvalues and SVD
• [NOTES] Orthogonal Eigenvalues and Eigenvectors

Algorithms

• MCMC for Image Segmentation
• [Algorithhm Design] Exhaustive Approach with Examples

Machine Learning

• [Deep Learning] Understanding Clouds from Satellite Imagery: A Deep Neural Network Model
• [Deep Learning] ADAM Optimizer and Its Implementation in pytorch
• [Deep Learning] Image Augmentation: a Part of Computer Vision Pipeline
• [Deep Learning] Building a Fully Convolutional Neural Network using SMP

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