Dan We
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.
Instructor Details
Courses : 6
Specification: machine learning for beginners – neural networks
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11 reviews for machine learning for beginners – neural networks
Add a review
| Price | $12.99 |
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| Provider | |
| Duration | 4 hours |
| Year | 2019 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
SelinaBlack –
If you are a struggling beginner like me and you do not know where and how to start, this course is a great way to learn to code neural networks. For the Introduction to Machine learning I took Daniel’s other course Machine learning for beginners which was quite helpful too. Recommend you check this out in case you want to learn more practical examples.
Klaas Eleven –
You get exactly what’s in the description. No lame theory, but diving straight into coding. Great. I recommend the course to all people who like it practical.
JChase –
I really like the practical teaching style. This is the best way to learn. Great course to start this topic.
Puneet Mathur –
This is a practical only course with zero theory on what is Feed Forward NN or Convolutional NN. If you have the theoretical background but want to know how to implement Neural Networks in Python hands on then this course will get you up and started.
Marissa M –
very hands on. The video is not that large so I recommed to watch in in Full HD then everything is ok. The course itself is good.
Bb_blue vayner –
very hands on. The instructor goes into coding and i like this way. You simply get much more out of the course. If you are completely new to neural networks i would also recommend to check out the instructors other course A crash course in neural networks for beginners first. It helped me to really understand how neural networks work behind code
Suresh Sankaranarayanan –
nice and useful
Joe Flatten –
Hands on coding for beginners. Great
Alexander Shelupinin –
poor video quality, no explanation of what’s tought. Would NOT recommend this cource.
Nithya Sailesh –
Explanations need to be more clear. Also the video (for the code) is not at all clear. Regression py code not available for download. Author needs to brief the concepts better
Samuel Aaron Opoku –
Great quality information