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| Semester | fall semester 2019 |
| Course frequency | Once only |
| Lecturers | David Belius (david.belius@unibas.ch, Assessor) |
| Content | In this seminar participants will present key concepts and results from Statistical Learning Theory, which provides a mathematically rigorous theoretical underpinning of several classical algorithms of Machine Learning such as linear regression, logistic regression, support vector machines, kernel methods and decision trees. The aim is to cover concepts such as: * Empirical Risk Minimization * PAC learning * Bias-Complexity trade-off * VC-dimension * Rademacher complexity |
| Bibliography | Shalev-Shwartz, Shai, and Shai Ben-David. Understanding machine learning: From theory to algorithms. Cambridge university press, 2014. (Subject to change) |
| Comments | Die Teilnehmerzahl ist auf 13 beschränkt. Bitte melden Sie sich bis zum 2. September 2019 via E-Mail bei heidi.karypidis@unibas.ch an. Die Plätze werden nach Eingang der Anmeldung vergeben. Diese Anmeldung ersetzt nicht die Einschreibung auf MOnA Für Studierende der Computer Sciences: dieses Seminar gilt nicht als Pflichtseminar. |
| Admission requirements | Prerequisites: *) Probability theory *) Linear algebra |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science) Module: Applications and Related Topics (Bachelor's Studies: Computer Science) Module: Insurance of Persons (Master's Studies: Actuarial Science) Module: Non-Life Insurance (Master's Studies: Actuarial Science) Module: Seminars (Bachelor's Studies: Mathematics) Module: Statistics and Computational Science (Master's Studies: Actuarial Science) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | no repetition |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Mathematik |