How we started
Our mission is to create intuitive blog posts as well as practical hands-on instructions. Vladimir, during his teaching hours, realized that math-oriented books in Computer Vision and Machine Learning can sometimes be difficult to grasp for beginners. However, once these concepts were explained in simple words, students were able to bridge this bottleneck and to create powerful projects. Hence, we strive to deliver a real understanding of the concepts (not just code!), and use that understanding to create applicable software code.
This synergy between a professor and his ex students looks quite promising. They are the first listeners and reviewers of the posts. In addition, they spark the posts with junior creativity and interest.
In addition, Vladimir has a transitioning career from Academia to Industry. This process, required from him to study a lot, learn and adapt. His experience, how to start in autonomous driving industry will be reflected in our blog.
We will prepare you for the jobs of the future!
Our Team
Vladimir Matić, PhD
Vladimir Matic currently works within a Camera Team for self-driving cars at Continental Company. For the last 15 years, he has been tackling problems in Machine Learning, Data Science, Signal and Image Processing. For 4 years, he was a university professor. That’s when the blog idea started. Initially, it served as a place for lecture notes. However, due to large interest, blog itself sparked many activities: Data Science bootcamps, ebooks, TV interviews and projects. He has a PhD in applied Data Science at KU Leuven (Belgium).
Strahinja Živković
Journalist, social media manager and graphical designer. Strahinja Zivkovic is an experienced journalist. He has worked for several daily newspapers. In addition, he is a talented graphical designer and social media manager. He joined datahacker.rs at its early beginnings.
Strahinja Stefanović
Strahinja Stefanovic is a junior Machine Learning Engineer. His interests are in Machine Learning and Computer Vision projects. He is one of the fastest Pythonista and loves practical work. Currently, he is working at the EyeSee company where he develops Face analysis applications.