== Python Programming for Machine Learning ==


 || '''Dates:''' || Monday 10.10.2016 - Thursday 13.10.2016 ||
 || '''Lectures:''' || from 10:00 to 12:00 in room H 2053 ||
 || '''Exercises:''' || from 13:00 to 17:00 in rooms MAR 6.001, MAR 4.063 (up to 16h) ||
 || '''Exam:'''    || Thursday 20.10.2016 from 14:15 to 15:45 in room EB 301 ||
 || '''Language:'''  || English  ||
 ||'''Contact''' || gregoire.montavon@tu-berlin.de ||
 || '''ISIS:''' || https://isis.tu-berlin.de/course/view.php?id=8412 ||


[[http://www.python.org/|Python]] has become a standard language for prototyping and plotting results in the machine learning community. Goal of this course is a basic understanding of python programming for machine learning and data analysis. We want to enable students to quickly load a data set, implement an algorithm, run analyses and plot the results. We will therefore focus on efficient calculations and visualization. For this, we make use of the packages
 * numpy
 * matplotlib
 * scipy
Examples relate to Machine Learning Applications.

Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class. In that case, you should consider to prepare with a python beginner class. 

Homework is submitted via the ISIS page.

=== students from other universities ===
If you are not a student at TU and want to earn credit, you have to solicit [[http://www.tu-berlin.de/?id=76326|''Nebenhörerschaft'']]: 
 * print out the forms concerning Nebenhörerschaft you find on that page
 * pass by at my office (see above) to have them signed
 * in addition, the dean of faculty IV has to sign
 * register at the the Campus Center. You will receive a TUBIT account (see below).