General Information
The course aims to provide technical skills in two modern branches of Machine Learning, namely, Computer Vision and Natural Language Processing. To fully understand the topics of the course, the student needs the basics of Python programming, as well as the basics of calculus and linear algebra.
Lectures Information
The lectures will be held on second semester. This page will be updated as soon as I know the starting date.
Study material and course announcements can be found at the Google Classroom of the course:
https://classroom.google.com/c/NTc4NzQwOTY2Nzg5?cjc=jmtorej
Books
All the required notions can be found within the material provided on the google classroom. However, the following books can be used to further deepen the lecture topics:
- Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press
- Computer Vision: Algorithms and Applications, 2nd ed., Richard Szeliski, Springer
- Speech and Language Processing , Dan Jurafsky and James H. Martin , Prentice Hall