What is machine learning / ai ? How to lean machine learning in practice?
machine learning / ai (artificial intelligence) and neural networks (often referred to as deep learning) are one of the hottest topics in this century – for good reasons.
There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. Also matrix operations in tensorflow are not considered easy peasy. None the less you do not need to be a math expert to apply machine learning. This is my third course to show you why.
Instead of telling you all the statistics and math behind the neural network and deep learning i prefer to give you a much more hands on approach. At the end of the day there’s only one thing that really counts – THE RESULT. I believe in a practical approach. That’s why the course is developed to encourage you to follow along and write the code yourself. At the end you can see your result.
By joining this course you can leverage the knowledge you acquired from my first two courses (Machine Learning for Beginners and machine learning for beginners – deep dive) and get the chance to dive into theworld of neural networks. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.
Courses : 6
Specification: machine learning for beginners – neural networks
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