Machine Learning Made More Effective Through Python

Machine Learning Made More Effective Through Python

Machine learning, a branch of artificial intelligence, is a method of data analysis that automates analytical model building. While artificial intelligence covers the broad concept that machines should be able to perform what humans consider “intelligent” tasks, machine learning is based on the idea that machines should be able to learn and adapt through experience.

April 1, 2016
An Introduction to Golang by Google

An Introduction to Golang by Google

In 2007 Robert Griesemer, Rob Pike, and Ken Thompson created a compiled and statically typed language called “Go.” This new language was meant to resolve problems they regularly experienced with languages they were using at Google. Here is a list of the pain points this group sought to address: Slow builds Uncontrolled dependencies Different subsets

April 1, 2016
How Custom Software Solutions Can Automate Your DevOps?

How Custom Software Solutions Can Automate Your DevOps?

Today’s companies routinely leverage IT products to conduct their business. Many of them empower their IT departments to maintain the computing environments as well as the software and services that are used throughout the company. As virtualization and cloud technologies continue to grow, automating the deployment and environment setup has become even more challenging and

February 10, 2016
Our Golang Frameworks vs Ruby Frameworks Expert Guide for Software Developers

Our Golang Frameworks vs Ruby Frameworks Expert Guide for Software Developers

  As the Ruby on Rails community becomes increasingly mature, additional time is spent optimizing different aspects of the Ruby framework rather than creating a completely new web application. This means performance and memory consumption start to play a significant role in its day-to-day development. So now we have much more instantaneous communication, lots of

February 2, 2016
How to collect aggregated statistics in a Ruby on Rails application?

How to collect aggregated statistics in a Ruby on Rails application?

  It is important to collect aggregated statistics so that management can analyze the data and make well-informed decisions.  Sphere was retained by a client in the recruiting industry who, among other things, needed to collect the following data: Total shifts posted Total hours posted Total shifts worked Total hours worked Average length of shifts

March 13, 2015
Emulating Life Cycles during Testing Automated

Emulating Life Cycles during Testing Automated

Testing Automation has become standard industry practice, saving quality assurance engineers the time and effort required for manual testing while enhancing overall code efficiency and accuracy. It also allows companies to reduce costs while speeding up product release times. These benefits can become especially apparent when developers are testing web applications that have long life

March 13, 2015