So, welcome everybody to the introduction to machine learning first lecture. As you can

see, I am not Vincent Kristlein, I am Mathias Soere, I am replacing him this week because

unfortunately he got corona and he would not like to share it with you, so he will

be staying at home for a few more days. During this lecture he will be taught by

mostly Vincent Kristlein and Paul Stoeve. You will also have, yes he's here in the

front row. You will also have five tutors who will help you a lot with the exercises

both for questions and submissions. And we will start now with just a few

information about the organization of the lecture itself. So it's supposed to be

a bachelor degree course. It's possible that for some tracks we might have some

master students or maybe not, but in theory it's a bachelor degree. The lecture will be

in this auditorium every Wednesday from 8.30 to roughly 10. It is recorded so you

will have also access to the recordings on the FAO TV. Also you will have some

online parts for this lecture. You will have an online Q&A session

managed by Paul. So typically he will present you the exercises and he will

also give some more details about the lecture itself, maybe present some

typical exam questions. So it's always a good idea to attend to his

sessions. For the exercises you will have to do it in groups. We will use a

system called AdoHABEL which is some kind of a curing system that allows

groups to be cured in an efficient way so that the first to come are the first

being served by the tutors. There will be exercise sessions on Monday, Tuesday,

Wednesday and Thursday at various times of the day. And all members of a

single group should be together in one session so groups cannot split over

several days. But yeah maybe just first a few words about the exercises. They will

be done in Python. So far there are five exercises planned. It might change but

that's the current plan. Since you are many students registered to this lecture

it would not be manageable to properly answer questions to everybody so

instead we decided to make groups of three persons. To generate or to

produce the groups you will not assign you to groups. It would be better if you

choose people that you already know or if you go on a stud and there is a forum

you can send some messages on the forum to try to find some group members. But

it's very important that you make sure that all group members can attend to the

same time slot. So that's what was on the previous slide. Exercises are not

mandatory. If you don't want to do them it's up to you. However, there is a small

typo in the slide. However, if you do exercises and if you submit them and if

they are evaluated as done sufficiently well you will get some bonus points for

the exam. So you get bonus points for the exam if you do exercises but also you

get well prepared for the exam. We try to design exercises that are helpful for

passing the exam. To submit the exercise first you will have to pass some

unit tests. So together with a PDF sheet of the exercise and maybe some

data and a bit of code you will get test files which will test different aspects

of your code. We ask you to pass successfully the unit tests on your

computer before you go to the Adorabelle platform for submitting your solution. So

unit tests for the ones who don't know what they are are just a small test cases

for small parts of code like testing the output of a single function. We tried to

design the unit tests to ensure that if a function passes the corresponding tests

then the function is probably correctly implemented. However, as you know there

are so many ways of failing that it's difficult to take all the possibilities

into account when designing tests. So it's still possible that you pass tests

but that there is a small mistake left in the function or in the method that

you have to implement. We hope that it will not happen but just be aware that