spandan-madan

I think people have done something similar with reddit actually. They tried to make redit conversations, and well as expected they were pretty funny. Try google searching ou might be able to find it.

To everyone - I literally came back home from lab to find this blown up. Little overwhelming frankly.

I built the bot as a gift for a friend, and didn't really see the Black Mirror angle, even though I have seen the series.

Anyway, if someone is interested in building extensions of this, please write to me at [email protected], I'd be happy to collaborate and guide :)

Precisely. I strongly believe that the purpose of tutorials is to be inclusive of all people. That's something I realized as a TA, making things explicit never hurts. There's always someone who can gain from more detail :)

For feature requests on this, please create an issue on the github Repo!

For future tutorial suggestions, mail me at [email protected]. A new one on NLP is coming soon!

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

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!

To quote one of the greatest professor in ML Pedro Domingos - "First-timers are often surprised by how little time in a machine learning project is spent actually doing machine learning. But it makes sense if you consider how time-consuming it is to gather data, integrate it, clean it and pre-process it, and how much trial and error can go into feature design.....Learning is often the quickest part of this, but that’s because we’ve already mastered it pretty well! Feature engineering is more difficult because it’s domain-specific, while learners can be largely general-purpose."