What is the Summer School About?
You are going to learn how to automatically classify objects, perform face recognition, improve charging of electric vehicles, apply deep learning to image/audio processing and more. MLSS@UNIZA 2021 is to be conducted jointly by experienced specialists from the University of Žilina, the University of Belgrade and the University of L’Aquila.
How and When?
The summer school combines lectures and interactive tutorials. The emphasis is mostly on building skills through simple practical examples, but you will also learn about the basic ideas that underlie the methods.
The summer school is going to run from
Monday 13th to Friday 17th September 2021.
The program starts at 8:00 and runs until around 17:00 each day with a 1-hour lunchbreak and several shorter breaks. The full program, including the precise times and topics for each block, will be provided soon.
Registration closes on 21th July.
Online, but Social
The summer school is going to take place online this year. However, we recognize that social interaction and collaboration form an important part of the overall experience and we will be using online platforms that facilitate them.
To Be Conducted in English
The official language of the summer school is English. All lectures and practical tutorials will be conducted in English.
Free for Students This Year
We are happy to inform you that to all this year’s student participants we have decided to offer the summer school completely free of charge.
What Should an Attendee Know Beforehand?
An attendee should possess basic programming skills: for most of our content, we will be working with Python. Should you need a refresher on that or some other related topics, online courses will be made available to attendees before the summer school starts.
The basics of algebra, analysis and optimization will also be useful if you want to get a more in-depth understanding of certain topics. However, none of these is strictly necessary.
What is Machine Learning?
Even if you haven’t heard much about machine learning, you’ve probably heard a little about artificial intelligence. When thinking about the subject, one shouldn’t imagine an army of machines that are out to take over humanity.
Artificial intelligence and machine learning methods are already here. We interact with them daily, whether we are using swiping keyboards on our smartphones, searching by faces in Google Photos, getting music and video recommendations, taking directions from an automatic navigation system, or using automatic translation to navigate foreign language websites. They have become part of our everyday lives.
They are also increasingly becoming a standard part of an engineer’s toolbox, which is why we want to give you an opportunity to learn more about them.
If you want to be among those to whom machine learning is more than a buzzword, take this opportunity to broaden your knowledge, gain practical skills and meet like-minded people.