dataHaskell

Fostering data science in the Haskell environment

[dataHaskell @DataHaskell]

https://t.co/bcOo1Xe3EL

[dataHaskell @DataHaskell]

We're so back!

https://t.co/tPHPGilZiE

[Marco @ocramz_yo]

Currently reading "HOCL: A family of embedded languages" by @a_cowley , wrapping my head around the "finally tagless" style of EDSLs for code generation. Good stuff! @DataHaskell

[dataHaskell @DataHaskell]

We've just surpassed the 300 person barrier in our Gitter. Help us grow even bigger! Let's make #Haskell the best alternative for #DataScience , join us! https://t.co/TziUi6wx4V

[dataHaskell @DataHaskell]

@eisokant @mrkgrnao We are really active. It is just that our Twitter bot is not working as expected 😅. We'd love to talk in our gitter channel 😀 You can join at https://t.co/FBc1C4IDDt

[dataHaskell @DataHaskell]

APLicative Programming with Naperian Functors - https://t.co/JU46g7XHQT

[The Agile Monkeys @theagilemonkeys]

https://t.co/tqbA183106 v0.9.5 is OUT!! Now with inline LaTeX support! Beautifully typeset your #DataScience #Haskell code! 📝📝✨✨

[The Agile Monkeys @theagilemonkeys]

haskell.do v0.9.4 has been released, fixing some bugs and annoyances. Get it at https://t.co/tqbA183106

[The Agile Monkeys @theagilemonkeys]

You know whats cool? Not having to type your projects path in #haskell.do . Check out the new file explorer @ v0.9.3 https://t.co/tqbA183106

[The Agile Monkeys @theagilemonkeys]

We've just released haskell.do 0.9 🎉 - Completely rewritten in Haskell with HTML/JS dynamic widgets. Get it while it's hot at haskell.do 🔥🔥🔥

[The Agile Monkeys @theagilemonkeys]

We're working with @DataHaskell community to do #DataScience with Haskell. Here's an intro of what you can do today https://t.co/F1xlMe4PmY

[dataHaskell @DataHaskell]

Unpaired Image-to-Image Translation
using Cycle-Consistent Adversarial Networks - https://t.co/FMWe7n04tv

[dataHaskell @DataHaskell]

The HdpH DSLs for Scalable Reliable Computation - https://t.co/n13Mj8BEqB

[dataHaskell @DataHaskell]

Evolution Strategies as a Scalable Alternative to Reinforcement Learning - https://t.co/HyFufRYRah @OpenAI blog

[dataHaskell @DataHaskell]

PlaNet - Photo Geolocation with Convolutional Neural Networks - https://t.co/1zt3arRGRz

[dataHaskell @DataHaskell]

Weekly poll [Apr/4/17] - What papers are you reading related to #haskell, #datascience, #functionalprogramming and such?

[dataHaskell @DataHaskell]

dataHaskell has now a mailing list! Wanna join? - https://t.co/hwZTp42h55

[Marco @ocramz_yo]

@DataHaskell DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker https://t.co/fGXvGaMVS8

[dataHaskell @DataHaskell]

The Dantzig selector: Statistical estimation when p is much larger than n - https://t.co/eHwzFnMcHo

[dataHaskell @DataHaskell]

Combinatorial sketching for Finite Programs - https://t.co/WwV1FQmx6g