Few books that I read give me the feeling that they are written for me, but the book Mathematics for Machine Learning does. The book’s authors start from the basics and present advanced mathematical concepts in an understandable way. If you ever want to get “under the hood” of machine learning, I suggest you start here.
Reward yourself after the exam, you have done your best, and that is amazing!
This is your time to shine! It is a good idea to start by reading through the exam. Write hints …
Preparing for the exam is often a stressful time. The important part is to learn to recognize when you know a topic and can continue with the next or when you have to study more.
Time management means making a plan for how to spend your time. As I mentioned in the last post, working in units of 45 minutes with concentrated work and 15 minutes break is a nice setup.
One of the greatest challenges as a student is to keep the concentration for a whole day of studies. Fortunately, there are some things you can do to make it easier.
Exercises have always been the primary learning method for me. It’s when I do them that I truly understand the topic.
Read the course literature after a lecture is an excellent way to do repetition and widen your knowledge. Make small summaries for yourself, use “reading questions,” and discuss with your friends.
I have gathered my best advice on how to study in this series of blog posts – Effective Studies. After the Lecture After the lecture, you let the knowledge sink in, and you hopefully start to understand the topic. Below I go through four essential parts of the work you need to do after theContinue reading “Effective Studies – 5. After the Lecture”
The first straightforward thing to do during a lecture is to take notes. Taking notes does not mean writing down everything the lecturer says. It means to write down words or short sentences that will help you remember what the lecturer said.