Software Engineer @ Dynamatik.
Node.js, Android & iOS Developer.
@FaisalAbid

Dart on Android?

With the new #Android VM (ART) on the horizon, and #Dart hitting 1.0, It’ll be interesting to see if Google eventually makes Dart compile to native applications.

One language to target the web (#ChromeOS) and Native (Android). 

Dart isn’t just a higher-level abstraction to #javascript like CoffeeScript or TypeScript. Dart is a complete environment with it’s own VM.

I think it would make total sense if Dart bytecode ends up running on ART and once DartVM is integrated into Chrome, be able to run on ChromeOS.

Best part of all? Dart2JS and run everywhere. Though I think we will lose this feature with a framework that lets you develop native and chromeos apps.

BayesDB

journo-geekery:

Via Torkington/Radar, where Nat explains:

 lets users query the probable implications of their data as easily as a SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users with no statistics training can solve basic data science problems, such as detecting predictive relationships between variables, inferring missing values, simulating probable observations, and identifying statistically similar database entries. Open source.

From the site:

Examples

INFER salary FROM mytable WHERE age > 30 WITH CONFIDENCE 0.95;

Fill in missing data with the INFER command. Unlike a traditional regression model, where you need to separately train a supervised model for each column you’re interested in predicting, INFER statements are flexible and work with any set of columns to predict.


SIMULATE salary FROM mytable WHERE age > 30;

Easily simulate new probable observations based on CrossCat’s estimate of the joint density of the data.


ESTIMATE PAIRWISE DEPENDENCE PROBABILITIES FROM mytable;

With just one command, estimate any pairwise function of columns, including the probability that the two columns are statistically dependent, the mutual information between columns, and their correlation.

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