Machine Learning fool Primer-1

In Coursera Stanford Machine Learning,lecturer strongly recommended open source programming environment octave Start, so I also downloaded to try it

Reference Link: http://www.linuxdiyf.com/linux/22034.html

******************************************************************************

Installation (Ubuntu16.04): I saw the Xia Guan Web, Ubuntu has been updated to 4.0.3, but still choose stable, this should be 4.0.2

$ sudo apt-add-repository ppa:octave/stable
$ sudo apt-get update
$ sudo apt-get install octave

******************************************************************************

Run Octave: Have graphical interface $ sudo octave or use the command line to run: $ sudo octave-cli*********************************************************** Octave and MATLAB main difference: 1, the cost aspect octave is completely free (and is open source), and MATLAB is commercial software 2, occupies the space octave relatively small, the installation program only dozens of trillion , Matlab is huge, because there are a lot of tools for various application areas, octave can not compare. 3, the grammatical aspect octave originally is the modelling matlab and the design, the grammar basically is consistent with the MATLAB, the rigorous writing code should simultaneously be possible in the MATLAB and the octave operation, but also has many details the difference. So if you really want to write octave that can be run on MATLAB, you need to consider compatibility. 4, drawing aspects of the octave of the background is a powerful gnuplot, some people think it will not be weaker than MATLAB, and the output format is far more than MATLAB, the formula display is also much stronger. But some people say that the octave drawing speed is slower than MATLAB. 5, user interface Octave GUI is just beginning to have, may be weak some.

Machine Learning fool Primer-1