Clojure Data Science

Written by @henrygarner.

[Henry Garner @henrygarner]

Just released kixi.stats v0.5.0 featuring shiny new APIs for significance testing and interval estimation, plus even more transducer-compatible reducing functions https://t.co/PuTNXRXBLb #clojure #DataScience

[Clojure Data Science @cljds]

Just released: HCA have open-sourced IClojure, their Jupyter kernel based on the Unrepl protocol https://t.co/yq4tHZEXka #Clojure #DataScience

[Clojure Data Science @cljds]

TechAscent have released optimised Clojure bindings for the deep learning Tensor Virtual Machine. Create and schedule functions across a variety of GPU / CPU backends right from your very own REPL: https://t.co/itv0dCtal9 #Clojure #DeepLearning

[Clojure Data Science @cljds]

Harness your raw GPU in just a few lines of Clojure with ClojureCUDA. Support for Nvidia's CUDA 10 toolkit landed this week https://t.co/AZYDQuZKfq #Clojure #MachineLearning

[Clojure Data Science @cljds]

Genetic programming in Clojure: pure functions and infinite lazy sequences https://t.co/4CqKk72s8A #clojure #DataScience

[Clojure Data Science @cljds]

MXNet's Clojure bindings now enable you to train a wide variety of neural networks, and make use of those trained elsewhere. Here are some examples to get you started: https://t.co/KxSLqJ6HE8 #clojure #DeepLearning

[Clojure Data Science @cljds]

The latest version of Apache's deep learning library MXNet includes Clojure bindings. Learn how to prepare, train & evaluate a deep neural net in Clojure using the high-level module API https://t.co/foundUUTtO #clojure #DeepLearning

[Clojure Data Science @cljds]

The second instalment of Lambda Island's dive into kixi.stats covers data scrubbing with transducers, linear regression, model evaluation, and higher order reducing functions https://t.co/U2p6EvmEDW 👌

[Clojure Data Science @cljds]

Lambda Island's latest episode covers simple exploratory analysis with Clojure's transducers, kixi.stats and some neat Emacs visualisations (paywall with free trial): https://t.co/OXahNcVUy4

[Clojure Data Science @cljds]

Data science up and down the ladder of abstraction (with Clojure) https://t.co/Qy6OBd2xcp

[Clojure Data Science @cljds]

Data wrangling awkward-sized data in Clojure https://t.co/FBwUuMq3D7 by @rrees

[Clojure Data Science @cljds]

@edw argh! Why weren’t you our proof-reader?

[Clojure Data Science @cljds]

@edw thanks Edwin! (we say through gritted teeth ;). Confirmed and updated here: https://t.co/oEdC00TZKa

[Clojure Data Science @cljds]

Slides, video and summary of yesterday's #ClojureX talk: Expressive Parallel Analytics with Clojure https://t.co/k4ChRoH4iF

[Clojure Data Science @cljds]

An implementation of Naive Bayes in Clojure applied to the Titanic dataset https://t.co/kceXA52xzV #clojurex

[Henry Garner @henrygarner]

Here are slides from tonight's @ds_ldn talk on expressive parallel analytics with Clojure's transducers https://t.co/lrtrWb8AtF

[Henry Garner @henrygarner]

I'll be speaking about Clojure's transducers and more at the next Data Science London meetup http://t.co/fTsjbWlbIS #clojure #datascience

[Clojure Data Science @cljds]

Here's an example wrapping deeplearning4j with Clojure to create a deep-belief net classifier https://t.co/sKEVKtUzn2

[Clojure Data Science @cljds]

Parallel Folds: Reducers, Tesser and Linear Regression http://t.co/SOz3hsxrjU

[Clojure Data Science @cljds]

clj-biosequence is a library designed to make working with biological sequence data easier https://t.co/Ofc76juMib