Machine learning-v. Octave Tutorial (Week 2)

Machine learning machines Learning-andrew NG Courses Study notes

If you want to build a large scale deployment of a learning algorithm, what people would often do is prototype and the Lang Uage is Octave.which is a great prototyping language. So you can sort of get your learning algorithms working quickly.
Prototyping Language (prototype language): 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's expensive for many people.
If you know Python, NumPy or if your 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)