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rcshubhadeep

713 karma · joined May 9, 2017

Head of Data Science, Spottedzebra, UK Github - https://github.com/rcshubhadeep
submissionscomments
rcshubhadeep··on Sunset Geometry (2016)
Excellent article. Thanks.
rcshubhadeep··on Mir Books
I usually do not comment on threads. But upvote for sure! This one is different. Nostalgia, First Science Education... What not! Thanks a lot for the website.
rcshubhadeep··on Ask HN: How are you fighting tech debt in your project?
Thanks for the repies we are doing the same almost :)
rcshubhadeep··on Ask HN: How are you fighting tech debt in your project?
So, basically, better spec, not changing spec once defined and tracking, and static code analysis are the bottomline of what you are implementing.

Am I right?

Do you find that having some kind of intelligent agent based analysis on PR and spec is going to help you?

rcshubhadeep··on Removing Bias in Facial Recognition, IBM Way
The link to the paper - https://arxiv.org/abs/1901.10436
rcshubhadeep··on Show HN: Find a Study Buddy for your MOOC
I am about to sign up. However, I will be happy also to study research papers together. Specifically, in RL and I have a slight interest in Quantum Computing as well.
rcshubhadeep··on Spinning Up in Deep RL
Perfect. Thanks
rcshubhadeep··on Spinning Up in Deep RL
Discovered two small issues in the doc. Where can I send feedback?
rcshubhadeep··on Show HN: Windows 95 in an Electron App
This brought back so much of nostalgia ...

Thanks, man! Thanks a lot!!

rcshubhadeep··on Show HN: Using AI to Summarize Terms and Conditions
A small resource, which may help you - http://thescipub.com/PDF/jcssp.2016.178.190.pdf

I am currently (and for some time actually) interested into the same problem. Summarization of text. It is a hard one to master. Not a lot of work has been done. I will be happy to be of any help.

(Bonus - a recently published paper about extractive summarization - https://arxiv.org/abs/1708.04439)

rcshubhadeep··on Show HN: A first try to implement a Deep Learning model
I am taking the deep learning course in Coursera by Andrew NG. I came across this dataset recently and took it up to build the present model. I am very new to this field and I will be very happy to have feedbacks to improve the model and hence the prediction. The python code is not really clean and may not be Pythonic always. Sorry for that. I was focused on the ML aspect more, I guess.
rcshubhadeep··on Ask HN: What are some examples of successful single-person businesses?
And why was I down voted? Really, I did not even express a strong opinion. I kind of expressed a doubt. This is really strange. I may not know something and I may have doubt. I believe a community like HN is a good place to express them and get corrected. I am shocked to see that this is not really welcomed here.
rcshubhadeep··on Ask HN: What are some examples of successful single-person businesses?
hmmm... It is OSS though. Not sure we can consider it as a single person company.
rcshubhadeep··on Show HN: WIKITOVIDEO. Generate videos from Wikipedia articles
Interesting concept. I tried with Will Smith :))) not sure why and the images were not really good as for the case of the showcased ones nevertheless this is a nice concept I like it. What technology did you use?
rcshubhadeep··on Show HN: A browser extension that notifies you about new messages using LEDs
This is a fun project. Will try to check
rcshubhadeep··on Ask HN: What do you use Machine Learning for?
Well, yes, until you are stumbled upon something that is not really working as you may expect and then you need to find out why... ML, without understanding the math can be a very strange place to roam around. I will suggest wrapping your head around basic math at least. The first chapter of the deep learning book is very nice in fact if you want to do this. http://www.deeplearningbook.org/
rcshubhadeep··on Show HN: Thinking Mathematically (video course)
Is the link broken? It brings me to a 404 page
rcshubhadeep··on Show HN: Awesome-Compilers List
Can you add Go also please? It is open source as well.
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