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Python Programming for Machine Learning (online class)

Python Programming for Machine Learning (3 ECTS credits) is an optional course for one of the modules:

"Machine Learning 1" (winter semester)
"Cognitive Algorithms" (summer and winter semesters)
"Machine Learning - Theory and Applications".

In the general case, it is not possible to take the Python course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.

Participation in the exercise sessions is not mandatory but highly recommended. However, homework assignments have to be submitted every week.

Important information: Since the first homework has to be submitted by Tuesday Apr 28th till 23:55, you have to enroll already by Thursday, Apr 23d 2020 for the ISIS course and a group. Otherwise, you will not be able to submit the homeworks.

Course Period:	from April 21, 2020 to May 26, 2020
Lectures:	Tuesday 16:15 - 17:45 in TBA
Exercises	Thursday 10:15 - 11:45 TBA
Exercises	Thursday 12:15 - 13:45 TBA
Test:	Tuesday May 14, 2019, 14:00 - 16:00 TBA
Language:	English
Trainers	Sergej Dogadov
	Philine Thalia Görzig
	Panagiotis Tomer Karagiannis
Contact	s.dogadov@tu-berlin.de
Contact	PyML class: https://isis.tu-berlin.de/course/view.php?id=19584

Frequently Asked Questions (FAQ)

When does the course start? On Tuesday April 21st, 2020 at 16:15
How to find a link for the classes? Links for the online lectures and exercises will be announced on the PyML class web page.
How to register for the course? Pre-registration via exam registration office is not needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.
May I participate in the class during this semester and take part in the corresponding module in one of the following semesters ? Yes, since you've passed the class your results are valid in one of the following semesters as well.

Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class.

Homework is submitted via ISIS (see above), therefore you have to register there.

Students from other universities

If you are not a student at TU and want to earn credit, you have to solicit ''Nebenhörerschaft'':

Information about how to get the form signed will be announced soon...

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-== Python Programming for Machine Learning ==
+== Python Programming for Machine Learning (online class) ==
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-Python Programming for Machine Learning is an optional course in the modules "Machine Learning 1", "Cognitive Algorithms" and "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
+Python Programming for Machine Learning (3 ECTS credits) is an optional course for one of the modules:

 * [[http://wiki.ml.tu-berlin.de/wiki/Main/WS19_MaschinellesLernen1|"Machine Learning 1"]] (winter semester)
 * [[https://wiki.ml.tu-berlin.de/wiki/Main/SS20_KA|"Cognitive Algorithms"]]  (summer and winter semesters)
 * [[http://wiki.ml.tu-berlin.de/wiki/Main/SS20_ML2|"Machine Learning - Theory and Applications"]].
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-The course will be split in two tracks A and B, with the same content, but held at different times of the week/day. Students can opt for either of these.
+Participation in the exercise sessions is not mandatory but '''highly''' recommended. However, homework assignments have to be submitted every week.
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+Line 14:
-Participation in the exercise sessions is not mandatory but highly recommended. However, homework assignments have to be submitted every week.
+'''Important information''': Since the first homework has to be submitted by Tuesday Apr 28th till 23:55, you have to enroll already by Thursday, Apr 23d 2020 for the ISIS course and a group. Otherwise, you will not be able to submit the homeworks.
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-'''Important information''': Since the first homework has to be submitted by Monday Apr 22 till 23:55, you have to '''register already by Thursday, Apr 18 2019 for the ISIS course'''. Otherwise, you will not be able to submit the homeworks.
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- || '''Course Period:'''    || from April 16, 2019 to May 14, 2019 ||
 ||<(^|2> '''Lectures:'''   || [Track A] Tuesday 08:15 - 09:45 in H 1058 ||
 ||                            [Track B] Tuesday 14:15 - 15:45 in H 0104 ||
 ||<(^|5> '''Exercises'''   || Wednesday 10:15 - 11:45 in TEL 106li ||
 ||                            Wednesday 12:15 - 13:45 in TEL 106li ||
 ||                            Thursday  10:15 - 11:45 TEL 106li     ||
 ||                            Thursday  12:15 - 13:45 TEL 106li     ||
 ||                            Friday    10:15 - 13:45 in TEL 106li    ||
 || '''Test:'''    || Tuesday May 14, 2019, 14:00 - 16:00 in H 0105 ||
+ || '''Course Period:'''    || from April 21, 2020 to May 26, 2020 ||
 || '''Lectures:'''   || Tuesday 16:15 - 17:45 in TBA ||
 ||<(^|2> '''Exercises''' ||  Thursday  10:15 - 11:45 TBA     ||
 ||                            Thursday  12:15 - 13:45 TBA     ||
 || '''Test:'''    || Tuesday May 14, 2019, 14:00 - 16:00 TBA ||
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- ||                        Philipp Seegerer ||
 ||                        David Lassner ||
+ ||                        Philine Thalia Görzig ||
 ||                        Panagiotis Tomer Karagiannis ||
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+Line 27:
- || '''ISIS:'''  https://isis.tu-berlin.de/course/view.php?id=15474 (enrolment key will be given during the first-day lecture) ||
+ || '''PyML class:'''  https://isis.tu-berlin.de/course/view.php?id=19584 ||
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- * '''When does the course start?''' on Tuesday April 16th, 2019 at 08:15 [Track A] or 14:15 [Track B]
 * '''How to register for the course?''' Pre-registration is not needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.
+ * '''When does the course start?''' On Tuesday April 21st, 2020 at 16:15
 * '''How to find a link for the classes? ''' Links for the online lectures and exercises will be announced on the  [[https://isis.tu-berlin.de/course/view.php?id=19584| PyML class]] web page.
 * '''How to register for the course?''' Pre-registration via exam registration office is '''not''' needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.
 * ''' May I participate in the class during this semester and take part in the corresponding module in one of the following semesters ?''' Yes, since you've passed the class your results are valid in one of the following semesters as well.
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- * print out the forms concerning Nebenhörerschaft you find on that page
 * pass by at Mr. Dogadov's office (MAR 4.034) 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).
+ * Information about how to get the form signed will be announced soon...