Hoang Duong blog

Apr 4, 2016 Decision Trees, Random Forest, Gradient Boosting
What should I put here?
Mar 7, 2016 Sequence to Sequence Model
Also known as Neural Encoder-Decoder model
Mar 7, 2016 Matrix Multiplication Benchmark
OpenBlas, MKL, CPU, GPU
Feb 10, 2016 Spectral Clustering
Summary of Spectral Clustering
Feb 10, 2016 Classical Dimension Reduction and Clustering
PCA, Kernel PCA, MDS, K-Means, K-Medoids, Hierarchical Clustering
Nov 23, 2015 Gradient Descent and Variants - Convergence Rate Summary
Summary of Gradient Descent, Coordinate Descent. Stochastic Gradient Descent. Their Convergence Rate (Iteration Complexity).
Nov 20, 2015 Word Representation - Word2Vec
Summary of Word2Vec method
Oct 20, 2015 Deep Reinforcement Learning
Summary of the UC Berkeley CS294 Deep Reinforcement Learning
Oct 19, 2015 How to make a blog like this
Guide to create pretty looking blog with jekyll and github pages