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Ask HN: Why there is no Codecademy for ML or AI?

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Re: Ask HN: Why there is no Codecademy for ML or AI?

#11

Post by BlueSlide » Mon, May 15, 2017, 12:50 PM UTC

allenleee wrote: post #3

bbennett36 wrote: post #2

There is tons of online tutorials for these things. Kaggle has good tutorials with the test datasets

Yes, I did my research but there is no such interactive tutorial online like Treehouse or Codecademy. There are so many tutorials but none of it tells you the whole path. Here are the resources I found useful: ========================================== Advices from Open AI, Facebook AI leaders Courses You MUST Take: Machine Learning by Andrew Ng ( https://www.coursera.org/learn/machine-learning ) /// Class notes: ( h…

Thank you!

Re: Ask HN: Why there is no Codecademy for ML or AI?

#12

Post by ssivark » Mon, May 15, 2017, 7:45 PM UTC

0. Doing ML requires an understanding of math. One gets less mileage from making magic incantations w/o understanding underlying implementation, compared with the mileage for front-end dev, as an example.

1. Any non-trivial ML will require significant amount of computational power (RAM/CPU/GPU). Who will subsidize that for participants? It's not sufficient to have a laptop that can run a browser.

2. Notice the proliferation of data science bootcamps. Once the syllabus/infrastructure becomes streamlined (and cheap), I would expect there to be more online offerings.

That said, there might currently be a market need for a syllabus based on Kaggle or other freely available data sets, and free compute resources provided on cloud platforms.

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