A complete course about Machine and Deep learning; the fundaments of AI.
What you will learn
Get acquainted with useful ML math, such as statistics, probability theory and linear algebra.
Learn to make ML algorithms from scratch.
Learn how the “back-end” of ML works.
Learn from zero the pipeline of using ML to solve a problem.
Learn to work with deep-learning frameworks (PyTorch)
Learn how to visualize and interpret correctly the given data, as well as the output of an algorithm.
Why take this course?
‘;
}});
