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End to End Machine Learning Pipeline Tutorial

spandan-madan.github.io

21–25 of 25 posts

Re: End to End Machine Learning Pipeline Tutorial

#21

Great write-up. Especially the fact that half of it was about finding cleaning and structuring data! You can tell someone isn't applying ML if they aren't spending most of their time getting their data organized. It's the "sharpening the axe" part of the hour Lincoln describes. For example, they never introduce you to how you can run the same algorithm on your own dataset I actually think the tensorflow tutorial on C…

Sure, would love to get in touch about my work over mail! What's your email ID Andrew?

andrew@pair3d.com

Re: End to End Machine Learning Pipeline Tutorial

#23
post #2

Reading articles like this written by people who want to share their fabulous domain knowledge for free of charge really is the reason why I read Hacker News. Thank you, i hope i will have the time to read through it all with thought and later hopefully utilize it with my own projects.

And people like you who take time out to read and learn is exactly the reason why people like me write such articles! Absolutely thrilled that people liked it and that I will be contributing in people learning this beautiful field of science I do research in :)

I'm gonna go through it as well, that was a significant amount of work you put in.

Re: End to End Machine Learning Pipeline Tutorial

#24

This so so helpful. It would take me months to gather resources to learn this stuff and I wouldn't even know what I would be looking for. To the author: please share more content if your valuable time permits

Working on them already! Next one is going to be on Word Embeddings for Natural Language Processing. Basically, how do we convert words and sentences to numbers so that a computer can work with them. Applications like Text classification, sentiment analysis all of them depend on this one single fundamental backbone!

That sounds great! Hope to catch it on here when you post it, thanks again for this tutorial - it's a fantastic resource.

Re: End to End Machine Learning Pipeline Tutorial

#25
I have been searching for exactly this type of tutorial for months. Your explanation of the state of online "10 minute introductions" for machine learning is spot on. I understand the concepts, and have a thorough background in programming, yet there always was a gap in my knowledge base. Thank you for sharing this!
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