机器学习Machine Learning - Andrew NG courses学习笔记
If you want to build a large scale deployment of a learning algorithm, what people will often do is prototype and the language is Octave.Which is a great prototyping language.So you can sort of get your learning algorithms working quickly.
prototyping language(原型语言):
The most common prototyping language use for machine learning are: Octave, MATLAB,Python, NumPy, and R.
Octave is nice because open sourced.
And MATLAB works well too, but it is expensive for to many people.
If you know Python, NumPy or if you know R.But, people usually end up developing somewhat more slowly, Because the Python, NumPy syntax is just slightly clunkier than the Octave syntax.
Basic Operations
Moving Data Around
Computing on Data
Plotting Data
Control Statements_ for, while, if statements
Vectorization
Working on and Submitting Programming Exercises
from:
Machine Learning - V. Octave Tutorial (Week 2)
原文：http://blog.csdn.net/pipisorry/article/details/43565653