dive deeper into the ML World
Increased knowlege on top of my basic course
Know best ways to prepare your data
Know how to select the best features for your algorithm
Know how to tune your algorithm
Know how to evaluate your algorithm
Kow how to automate machine learning
Machine Learning is 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. None the less you do not need to be a math expert to apply machine learning. This is my second course to show you why.
Instead of telling you all the statistics and math behind the Algorythms 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.
By joining this course you can leverage the knowledge you acquired from my first course (Machine Learning for Beginners) and get the chance to dive much deeper into the machine learning world. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.
But if you want to actually practise machine learning and learn how to improve your own algorithms then this beginner’s course is the right way to continue your learning journey
I wish you all the best, enjoy the course, get your hands dirty and start coding!
See you in the first lecture
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