Hi,
I've moved my blog to GitHub.
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Tuesday, November 29, 2016
Monday, July 25, 2016
Understand quicksort partitioning
The most important part of understanding quicksort is to understand the partitioning function.
Here is an intuitive way to present the array being currently partitioned, let's say we've selected a pivot in the middle of the array and its value is 100. Here's the array being partitioned.
Where...
Thursday, July 14, 2016
Stanford Machine Learning Final Week Review! Congratulations!
What is a "machine learning pipeline"?
It's a system with many stages / components, several of which may use machine learning. When dealing with complex real world problems. Oftentimes, in order to solve one problem, we need to solve multiple sub-problems. For example, one way to solve...
Stanford Machine Learning Week 10 review
What is the problem with learning with large dataset?
When training the parameters with a large dataset, such as 100 million training examples or even more, we may not be able to fit all training example into memory. However, we do need all the training examples to calculate partial derivatives...
Stanford Machine Learning Week 9 review
What is Anomaly Detection?
Given a bunch of x's (where each x is a vector - a training example), detect whether for a new example x (a new vector), possibility p(x) < ε (epsilon). If yes, it is considered an anomaly; otherwise, it is considered normal.
What is Gaussian (Normal) distribution?
Gaussian...
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