Was working on my research with sklearn, but realized that choosing the right evaluation metrics was always a problem to me. If someone asks me ,”does your model performs well?” The first thing in my mind is “accuracy”. Besides the accuracy, there are a lot, depending on your own problem. Continue reading
Lecture notes from Natural Language Processing (by Michael Collins)
Markov Process is a kind of random process. The main idea is given the current state of the system, its future state does not depend on its past states.
Learning notes for Lecture 7 Modeling sequences: A brief overview. by Geoffrey Hinton 
Let’s try some ways to speedup our learning!
When you play any games, probably you have strategies or experiences. But you could not deny that some times you need luck, which data scientists would say a “random choice”. Monte Carlo Method provides only an approximate optimizer, thus giving you the luck to win a game.
Pregel: Message Passing.
Focus on the process, no matter each vertex computation.
(this part was referenced from a blog)
In the Important Sampling, all the samples are independent. But in MCMC, samples are dependent.