Moving machine learning from practice to production

With growing interest in neural networks and deep learning, individuals and
companies are claiming ever-increasing adoption rates of artificial intelligence into their daily workflows and product offerings.

Debugging Neural Networks: A Checklist

You’ve framed your problem, prepared your datasets, designed your models and revved up your GPUs. With bated breath, you start training your neural network, hoping to return in a few days to great results.

A Perl toolchain for building micro-services at scale

But why?!

This is the question that we get asked immediately when we tell someone that we use Perl. Our extensive use of Perl to build many of our internal services often comes as a surprise to many and we…

Measuring application performance for great good

In Numbers We Trust

GPU-enabled EC2 instance for deep learning

As a team which builds data-powered software for ecommerce-focussed companies, we are always on the lookout for incorporating new development practices into our workflow.

Understanding Function Length in JavaScript

Some JavaScript libraries support a feature that I find really interesting. A callback passed to the library can use its formal parameters (or rather their count) to reveal more about its behaviour to the caller.