rangerranvir

Running tests in parallel really helped us reduce the time it takes us to run the tests.

Really liked what you have shared. UX is not that great though, not sure I am unable to click on stuff.

This is great. Thanks for sharing. Would love to know how you did it. Why haven't you used some kind json API?

Please refresh once if you don't see the, `Join the beta List` button.

Wanted to do show HN, but the rules page shows that you can't post if the product is not ready to use for the users.

I am not sure if it can be directly used for now, but you can get the gist by clicking on `Join the beta List` button.

Please try it out and let me what do you think of the idea.

Thanks for appreciating.

Since, I am here. I would like to take a small feedback about the general structure of the website and how it feels.

If someone has a suggestion on how I can improve the user experience feel free to hop in and let me know.

We can definitely learn a piece from such an experienced practitioner. Thanks for sharing, I think your intuition matches with the other experienced once in the comments.

Thanks for saying that. Means a lot.

Thanks for early warning. Will have to keep that in mind.

Great Point! I do read article where someone builds such cool stuff every now and then to keep in mind what's coming.

Anyway whatever works. Ultimate aim is to learn and have fun.

Random question, do you guys have tried linear regression in place of Adam and was there a significant change in the training time?

And on what data you decide to move on to NN based model rather than using a simpler models like linear regression etc?

Thanks for sharing, looks promising.

Thanks a ton for these. Added this to things I know that I don't know list. ;)

Great Points. Really appreciated. Will have to put extra effort to learn about the feature engineering part of the problem.

Also, if you know a few things about the data it becomes a little easier to explain what your model is doing and why it is producing those results.

Found a good resource which explained the trust component: https://arxiv.org/pdf/1602.04938.pdf

+1

Anyway the idea of NNs was introduced to work on data which a simple human brain couldn't make sense of.

For more general tabular data, like trees, regression and even rule based models are more realistic.

Thanks for the advice. Will definitely try to follow that. I was trying to learn basics of statistics and went through most of the intro to statistical learning. Will complete the rest in few days.

I am more of a book person, if you have any other resource for probabilistic graphical models, please share here.

Thanks for sharing. You actually shared a full playlist. Won't be able to get up before finishing a few of them.

Nice, Thanks for sharing.