This is a by-beginner, for-beginner's guide. I want it to make it better. Can you help me make it more legitimate, if you are an expert?
I learned Python by hacking first, and getting serious later. I've scratched the surface with Machine Learning in this same way. Now, I'm encouraged to get serious with it. This guide is meant to help other developers do the same :) So I hope it'll have the same effect for someone else.
But! I'm sure I've gotten things wrong. I'm sure I'm missing key points. All I can hope for now is that I've captured some "beginner's mind" in approaching the topic. So maybe we can preserve that form, while improving the content.
So please, if you are a beginner, student, or already an expert ... I hope you'll open issues and submit pull requests! Thank you!
Awesome, thank you for submitting it. The visibility will improve the guide I think.
I really do want visibility for the guide, because I think it absolutely needs peer review. I "got ahead of myself" on purpose to try and capture a beginner's mind.
I want to sort of back-fill it with more expert knowledge, as much as possible. Hopefully not by making it get longer and longer, but rather by just making it more correct/substantial/vetted.
I can't tell if you are affirming the use of Jupyter/ ipython notebook, or if you were suggesting I should update to more-completely recommend Jupyter over Ipython notebook (guide currently mixes terms).
When I first started putting this together, it was still just -- ipython notebook, and other notebooks. The unifying effort of Jupyter hadn't been released yet. I need to catch up here... After I know the full picture about how Jupyter is different from ipython notebook, any compatibility issues, etc., I will make a full pass through the guide to update anything needing updates.
Or if someone submits a Pull Request before I have time too, I'll gladly accept it ;)
I meant Jupyter as in "Jupyter (aka IPython Notebook)" - I am just affirming your choice. Unless you met some particular issues (I never did), talking about versions of Jupyter/IPython Notebook would be distractive rather than helpful (IMHO).
The guide's primary recommended course is Andrew Ng's Machine Learning course. Current session started November 2nd, you must enroll by the 7th. Another session is starting November 30th.
