== Integrated Lecture "Kognitive Algorithmen" == Computer programs can learn useful cognitive skills. This integrated lecture tries to communicate an intuitive understanding of elementary concepts in machine learning and their application on real data with a special focus on methods that are simple to implement. We recommend the [[Main/WS15_MaschinellesLernen1 | "Machine Learning 1" ]] lecture or the "Machine learning lab course" (in summer term) for a more advanced treatment (this course is not a prerequisite). We will alternated a lecture and a practice session. In the practice session students will implement and apply machine learning algorithms on real data in Python. === Dates === ||'''Date:''' || Thursday, 10:00 - 12:00|| || '''Room:'''|| MAR 0.001 || || '''Responsible''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] || || '''Lecturers''' || Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de) || || || Stephanie Brandl, Irene Winkler || === Topics === We will cover (among other things) * Supervised learning (linear regression techniques, linear classification, kernel based regression, neural networks) * Unsupervised Learning (Principal Component Analysis, Clustering) * Model Selection More information can be found on the [[https://isis.tu-berlin.de/course/view.php?id=6127 | ISIS Website]]. === Prerequisites === The following are prerequisites are helpful for taking the course: * Basic knowledge in linear algebra and calculus * Basic programming knowledge, programming in Python === Credits === The integrated lecture is the compulsory part of the B.Sc. module "Kognitive Algorithmen" in Computer Science. This "Kognitive Algorihtmen" module is a 6 ECTS/SP module, and consists of * The compulsory integrated lecture (2 SWS / 3 SP / 3 ECTS), and * An elective (2 SWS / 3 SP / 3 ECTS): a Math refresher course, an introduction to python programming or a seminar ("Applications of Cognitive Algorithms") for a more in-depth treatment of selected applications. The grade will be determined in a written exam at the end of the semester. The grades of the elective will not count towards the grade of the entire module.