Everyone, and welcome back to this class.
In this section, I'm going to go over some common questions that students have and some general tips
that have helped students in the past.
Please keep in mind that this is not a core part of the course.
These are just common general questions that students have had about machine learning or about my courses
in general.
I realize that it's not useful for everyone, but please keep in mind that it's useful for someone.
There are a few people out there that tell me they think all the lectures should only answer their questions,
but not anyone else's questions.
So just keep in mind that many of your fellow students have asked me these questions in the past.
And in order to answer those questions in a scalable way, I've created the section.
Please try not to hold it against me, as this may not directly help you, but it may help your fellow
students.
Please also keep in mind that the appendix section in no way takes away from the core content, all
the material provided for the topic matter is exactly what I wanted to provide.
These appendix lectures are simply extra stuff.
So these appendix lectures do not displace any technical content.
If the appendix section did not exist, the technical part of this course would be exactly the same
as it is now.
So just remember this.
The appendix is in addition to the technical content.
It does not displace any technical content.
You get all the technical content that I intended.
Also, keep in mind that you're always able to select the lecture you want using the user interface,
that's this thing.
If you don't know how to use the video player to select a lecture, please ask me how on the Q&A or
contact your support so you're encouraged to select the lectures you want to watch manually and skip
lectures you don't want to watch.
Also, keep in mind, however, that a common mistake is in thinking that this material is not going
to help you when in reality it will.
For example, I come across students all the time who have no idea how to get started implementing machine
learning algorithms and code or why we are doing so in the first place.
Then I come to find that they have never watched how to code by yourself.
So I think it goes without saying that if you don't know how to code by yourself, you should probably
watch the lecture, how to code by yourself.
Same thing goes for the other lectures in this section.
All right, let's get to the lectures.