What is machine learning / ai ? How to lean machine learning in practice?
machine learning / ai (artificial intelligence) is the hottest topic in this century – for good reasons. Some people conceive it the “steam engine” of our century and one thing is certain: It will drastically change the world.
“From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!”
Neural Networks (often referred to as deep learning) are particular interesting. But there are several questions to answer.
One of those is the math part involved in the construction of these neural networks. This is exactly were we want to start here.
This course is designed to give beginners a practical introduction to the mathematical concept. In this course we will use linear regression as an example to understand the math. The idea is completely transferable to neural networks. The change in coefficient works exactly the same.
If you are a complete beginner and want to get the main idea of neural networks first then I suggest to start with my other course
“A crash course in neural networks for beginners”
first.
Do you want to take your chance get a glimpse into the mathematical concept 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
Addon Updates:
If you want to dive deeper into Neural Nets and learn to understand and program more than check out my additional courses which cover additional content which will give you additional knowledge.
•A beginners guide for building neural networks in tensorflow
•How neural networks work – a glimpse into math for beginners
•A crash course in neural networks for beginners
•A crash course in neural networks for beginners – deep dive
•machine learning and neural networks mini case studies
•neural networks for beginners from scatch
•machine learning with text for beginners
You can easily find them by checking out my instructor profile.
