Yadi

Hilarious code:

>>`"so your first mistake was using my code, but since you are clearly reading this let it be known that mutuals.py lets you create a mutuals list on the hell site known as "twitter dot com".`

It would be cool to make the list private.

Congrats on the launch mbeissinger, this is pretty cool and useful product!

Neat, maybe add a hint button and show what kind of terms one can search into the 2 input fields.

They are talking about the OSI model layer.

I recommend looking into Network+ material, don't do the exam, but I learned quite a lot studying for the exam using the CBT Nuggets videos.

Also, Cisco has the ICND1 and ICND2, or rather called CCNA, which goes into depth on network technologies.

If you're more on the Web technology side, I recommend looking at this book called "HTTP: The Definitive Guide"

By far it was one of the best books I studied in undergrad, it goes over a lot of Network protocol fundamentals.

Hey This is awesome :)!

I will be sharing some of my bots on here :).

Awesome seeing someone use the reddit dataset :)!

Wouldn't a w2v as a recommender for the user might have been better?

Taking user's comments/likes/subreddits as a feature.

I don't think that was the case for the fellowship.

Applied after the 2 days with my team! Didn't get a view on anything not even a click. Again, yeah it might be the case that it was nothing interesting to them and just skipped it. But to be honest it's a bit disappointing to see no indication that someone have actually looked at 2 days of work.

Because in a startup life, 2 days (48 hours) would be enough to build and ship a feature to a customer.

I agree though with the regular YC applications, I've heard that advice more than a few times from past alums.

It can be computationally expensive for a robot to use any sorts of deep learning on board for improvement during work.

It takes hours if not days sometimes to train a good scaled model. Then retraining the model could take a quarter of that time, which is too much delay for a robot. However, with linear models things can be easier.

Also, there are very few people who know how to manage DNN or creating neural nets from scratch in a proper required way. Otherwise Boston Dynamics have to stick to one of the existing libraries which wouldn't be ideal.

DNN is amazing for some work that am sure they must be using them already, for example models that can help them with the feature engineering and such.

It looks good, am sure there will be lots of folks to help on the project.

Ah yes that is true regarding the usage/req :), but I thought you might have tried it in production with some requirement.