machine learning for beginners - neural networks هذه الدورة تدرس باللغة الإنجليزية

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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)areone 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 difficultquestionbasicallyis 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 consideredeasy peasy.None the less you do not need to be a math expert to apply machine learning. This is my third courseto show you why.

Instead of telling you all the statistics and math behind the neural network and deep learningi prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THERESULT. 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) andget the chance to diveinto 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.

But if you want to actually practise machine learningand neural networks with python and tensorflowand learn how to write and improve your own algorithmsthen 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! Let's master neural networks from scratch

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.

1. A beginners guide for building neural networks in tensorflow
2. neural networks transfer learning and sentiment prediction
3. How neural networks work - a glimpse into math for beginners
4. A crash course in neural networks for beginners
5. A crash course in neural networks for beginners - deep dive
6. machine learning and neural networks mini case studies
7. neural networks for beginners from scatch
8. machine learning with text for beginners

You can easily find them by checking out my instructor profile.