mistermaster's comments

On: Google

[mistermaster]

it worked

On: BASIC Computer Games

[mistermaster]

those were the days!!!

On: Ask HN: What do you want to learn in 2017?

[mistermaster]

learning how to build a microservice architecture. some deep learning!

[vijayr → mistermaster]

Any resources you are using to learn micro service architecture?

On: Google applying to patent deep neural network (LST...

[mistermaster]

they will have to pay royalties to Sepp Hochreiter, the inventor of LSTM (http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=679596...)

[PeterisP → mistermaster]

Why? LSTM as such isn't patented, so the concept is free to use by anyone without any restrictions or royalties, no matter who invented it.

Also, the concept of LSTM wouldn't be patentable directly even in the current liberal software patent interpretation, you might patent particular applications of LSTM (e.g. this patent) but not any and all arbitrary applications of LSTM.

On: Lesson Learned Running a Side Project for One Mont...

[mistermaster]

thanks Per! interesting learnings!

On: Show HN: Chemozart – molecule editor and visualize...

[mistermaster]

looks nice. Are you considering to add templates, eg. benzene ring etc?

[mohebifar → mistermaster]

Good idea! We will take your advice. We will also be happy to see you having a PR.

On: Understanding LSTM networks

[mistermaster]

great explanation. many thanks! hochreiter is genius!

[colah3 → mistermaster]

> hochreiter is genius!

It's really impressive to me how farsighted his work on LSTMs was.

In any case, I'm glad you liked the post.

On: Pyxley: Python Powered Dashboards

[mistermaster]

looks cool. shiny is very neat, but has the limitation of having R behind it and debugging ain't fun. I very much look forward to testing pyxley!

[IndianAstronaut → mistermaster]

Why is having R a limitation? R is a fantastic data language which arguably beats all others in terms of number of libraries and data manipulation tools.

[claytonjy → IndianAstronaut]

If GP comes from a more software-dev background, I can understand a general dislike for R. There's lots of things where R can't be beat right now, but for simple data analysis and visualization, there's some damn good python packages like pandas and d3py that GP may find easier to use than dataframes/tables and rCharts in R.

[Lofkin → IndianAstronaut]

R has no native bayesian library like Pymc 3 (Must use stan which is c++). Also Python is better for ad hoc and agent based modeling and for out of core data with blaze and dask.

So no, R is not ahead in everything.

[jcheng → Lofkin]

I'm not trying to get into a R vs. Python argument, both have their strengths, but is it really true that R doesn't have anything like Pymc?

https://cran.r-project.org/web/views/Bayesian.html

[Lofkin → jcheng]

Unless you can help here, I see alot of pre coded models and older samplers, but nothing with a flexible JIT for user extensible variab;es and autodiff for newer HMC and NUTS type samplers. Exception being STAN, but that is its own C++ modeling language, can't talk to R functions , is more verbose than PYMC 3 and doesn't do discrete variables (unlike pymc3).