data-science

Data science, data analysis, and machine learning in Clojure https://scicloj.github.io/pages/chat_streams/ for additional discussions
2019-11-01T07:56:46.108700Z

Here is the Malli meeting video: https://twitter.com/scicloj/status/1190173919082364928 Many thanks to @ikitommi for the talk, and to @teodorlu for moderating.

lepistane 2019-11-01T08:20:52.111100Z

Hi everyone i've got few questions about machine learning i think (i am not completely sure if that's the right topic or right channel) so i made an app that is used for GPS tracking. Currently the only job of the app is to send it's current location and some additional data (flags) that user can specify. Interesting topic came up where i would want to predict how much time it would take to get to point A from phone's current position (something like google directions offers u chose from and to and it gives u option by car 3min). I looked online and saw google distance matrix and few alternatives (all of which are not free or have very limited free tier) Then i thought this would be cool machine learning project right? I'd want to create system that correctly predicts how much it will take to get to point A for known route based on time of the day, time of the year, weather forecast and few more factors and that this model would keep training itself as position changes overtime (route will be used at least once a day) Is this something doable? How would i go about doing this? How would i even start practically? I have 0 context about the topic and i would like this to use this opportunity to start learning about ML Any advice is appreciated

chagas.vis 2019-11-01T18:33:42.111800Z

Hello everyone, I am currently studying how I can use Clojure to a bioinformatics project. One of the first problems that I find is the lack of a library to work with data frames, I did some Google search but I did not find any information about some Clojure library that has any implementation like pandas (Python) or R.

2019-11-01T18:44:08.111900Z

You can approach this in different ways - but getting started to Deep Learning, I would recommend MXNet Made Simple blogs https://arthurcaillau.com/blog/

2019-11-01T18:44:52.112200Z

Here are the supported jars

2019-11-01T18:45:03.112400Z

I would start with this https://arthurcaillau.com/mxnet-made-simple-ndarrays-api/

2019-11-01T18:45:23.112700Z

If you have any questions or trouble getting started, feel free to ping in the #mxnet room

2019-11-01T18:46:34.113100Z

might want to check out https://github.com/techascent/tech.ml.dataset

πŸ‘ 1
2019-11-01T18:49:27.113500Z

You can also interop directly with pandas https://github.com/cnuernber/libpython-clj

πŸ‘ 1
2019-11-01T21:18:50.114900Z

And panthera https://github.com/alanmarazzi/panthera

πŸ‘ 1
☝️ 1
2019-11-01T21:48:44.115700Z

Oh yeah, that’s the one I was meaning to link to :)

πŸ™ƒ 1