Machine reading comprehension aims to answer questions given a passage or document.
Kinds of RL algorithms
The landscape of algorithms in modern RL.
Key Concepts in RL
An introduction to key concepts and terminology in reinforcement learning.
Model-Free Control (RL)
Notes of lectures by D. Silver.
Model-Free Prediction (RL)
Notes of lectures by D. Silver.
Deep Learning Toolkit Installation
This is a brief records of pitfalls and problems we met on GPU environment configuration.
Word Tokenization: How to Handle Out-Of-Vocabulary Vocabularies?
Summary of word tokenization, as well as coping with OOV words. (This is expanded based on my MT course lectured by Dr. Rico Sennrich in Edinburgh Informatics in 2018.)
POS Tagging with HMMs
An introduction of Part-of-Speech tagging using Hidden Markov Model (HMMs).
Tricks of Python
Useful usage of python.
LeetCode practice: random
Leetcode practice of the random topic.