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| == Python Programming for Machine Learning (A and B) == | == Python Programming for Machine Learning == |
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| Python Programming for Machine Learning is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits). | Python Programming for Machine Learning is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits). |
Python Programming for Machine Learning
Python Programming for Machine Learning is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
Course Period:
16 Oct 2017 - 10 Nov 2017
Lectures:
TBD
Exercises:
TBD
Exam:
TBD
Language:
English
Contact
ISIS:
TBD
Frequently Asked Questions (FAQ)
When does the course start? TBD
How to register for the course? Pre-registration is not needed. Only exam registration is necessary.
Main Topics
- Python Basics
- Numpy / Performance / Plotting
- Rounding / Overflow / Linear Algebra
- Randomness / Simulation
Additional Topics
- Linear Models (Regression, PCA)
- Low-Level Extensions (F2PY)
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 ''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).