Machine Learning Crash Course

Re:Machine Learning Crash Course by icc97 on Thursday March 01, 2018 @02:26PM (#16495270)

I fully agree with you that after a MOOC you've barely scratched the surface and until you're implementing them yourself then you're not going to jump into a ML job.

However personally I view the rest of the opposite way round. Getting through a course on Deep Learning takes months [0]. Then reading through Keras code once you understand the appropriate NNs is easy.

For example it takes a while of going through Neural Networks to understand ResNets. But if you understand ResNets then looking though Keras code that creates a ResNet [1] is easy.

If I want to build a NN of any sort in Keras I can just Google for it. However there's no simple Googling you can do to teach yourself NN in an easy to follow structured way.

[0]: https://www.deeplearning.ai/

[1]: https://github.com/Hyperparticle/one-pixel-attack-keras/blob...

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Re:Machine Learning Crash Course by p1esk on Thursday March 01, 2018 @05:24PM (#16496956)

Understanding NNs is easy. Understanding, collecting, and cleaning up data is the hard part.

Also, DL != ML.

Paraphrasing "The Tao of Network Protocols": If all you see is DL, you see nothing.

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Re:Machine Learning Crash Course by tonypace on Thursday March 01, 2018 @09:22PM (#16498435)

There are a tremendous number of people outside of programming who spend much or all of their work time collecting, cleaning up, and understanding data. Think teachers, accountants, traders - essentially everyone who spends a lot of time in spreadsheets.

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Re:Machine Learning Crash Course by icc97 on Thursday March 01, 2018 @05:56PM (#16497182)

The parent was referring to Keras which is a NN API hence why I responded talking about NN.

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