What is machine learning / ai ? How to learn machine learning in practice?
machine learning / ai (artificial intelligence) is the hottest topic in this century - for good reasons.
Neural Networks (often referred to as deep learning) are particular interesting. But there are a few questions.
To answer these questions and give beginners a guide to really understand them, I created this interesting course. Together we explore Neural Networks in depth and learn to really understand what a multilayer perceptron is. In additon to that we also learn to understand convolutional neural networks which play a major part in autonomous driving.
Normally there is a lot of math involved which might discourage beginners. I agree that statistics, calculus and linear algebra are not everyone's favourite topics.
That's why this crash course in neural networks emphasizes the real understanding of how a neural network works without overloading you with math. Nonetheless math is involved of course because it's necessary to understand the process. But there is no need to be a math expert I promise!
Do you want to take your chance and expose yourself to this interesting topic which will change the world forever? Then join me and other students to dive deeper into neural networks right now. What are you waiting for?
See you in the first lecture
This video ist part of my other machine learning course. This covers all the software you require to dive deeper into machine learning and neural networks. Even not all the software is required for this particular course, you can download and istall all these libraries.
Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.
He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.
"In order to do the impossible you need to see the invisible"