Programming tools info

Programming tools info

Johannes Verwijnen Teemu Pulkkinen

Introduction to Machine Learning, Autumn 2014

MATLAB/Octave/R at the department

When working in the computer halls MATLAB is only available when booting to Windows. On Linux use Ukko nodes (see next slide).

Octave is available on Linux systems, just type octavein the terminal

R is available on Linux systems, just typeRin the terminal

MATLAB/Octave/R from home/own computer

you can run MATLAB, Octave or R on an Ukko node (needs CS account, minor students can get one from tktl-luvat [at]

cs.helsinki.fi - state your username in the email) ssh to shell.cs.helsinki.fi

check for available free nodes at

http://www.cs.helsinki.fi/ukko/hpc-report.txt ssh to chosen node

runmatlab/octave/R

download/install Octave or R on your home machine and run it locally

IDE-like environments exist for Octave (Octave-gui) and R (RStudio)

A Student version of MATLAB sets you back about 35AC

A VERY short MATLAB/Octave introduction

start by using the helpfunction some helpful links

http://www.mathworks.se/help/matlab/

https:

//www.gnu.org/software/octave/doc/interpreter/

tutorials

https://www.mathworks.se/academia/student_center/

tutorials/mltutorial_launchpad.html?confirmation_

page(free, requires registration)

http://www.math.utah.edu/lab/ms/matlab/matlab.html https://en.wikibooks.org/wiki/Octave_Programming_

Tutorial

http://www.youtube.com/playlist?list=

PLj-MRhZ0CQchBj-jb2y9XWs34pV9Xo1hP(part of Andrew Ng’s Machine Learning course)

A VERY short R introduction

start by using the help()function some helpful links

http://cran.r-project.org/manuals.html https:

//www.gnu.org/software/octave/doc/interpreter/

tutorials

http://www.cyclismo.org/tutorial/R/

https:

//www.datacamp.com/courses/introduction-to-r http://heather.cs.ucdavis.edu/~matloff/r.html http://www.rexamples.com/

Returning your code exercises

try to create separate functions for each (sub)question remember to try to vectorize operations instead of using for-loops

seehttp://www.mathworks.se/help/matlab/matlab_

prog/vectorization.htmlor http://www.noamross.net/

blog/2014/4/16/vectorization-in-r--why.html

zip your solution .m/.R -files and send them as an attachment together with the pdf of your pen&paper exercises

No other programming languages are allowed without prior agreement with the assistant (Johannes)