Datascience is exploding in popularity due to how it's tethered to the future of technology, supply-demand for high paying jobs and being on the bleeding edge of corporate culture, startups and innovation!
Students from South and East Asia especially can fast…Continue
In this article, we will see how we can implement a simple customer churn model that is built by using Azure Machine Learning studio. This article will give us a starting point to understand how Azure ML based models are created and deployed in the most easy to understand manner. The experiment (Azure ML Model terminology) that I will refer to is based on a dummy customer data and is readily available on Azure ML Studio AI Gallery.
Understanding the Churn…Continue
Added by Sunil Kappal on July 1, 2019 at 3:02am — No Comments
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science work to be better at their work:
1. Beware of the Clean Data Syndrome
You need to ask yourself questions even before you start working on the data. **Does this data make sense?** Falsely assuming that the data is clean could lead you towards wrong Hypotheses. Apart from that, you can discern a…Continue
ISVs are commonplace in software and technology business. Per Wikipedia, an independent software vendor (ISV) is an organization specializing in making software, designed for mass or niche markets. This is in contrast to software developed for in-house use only within an organization or software designed or adapted for a single, specific…Continue
Added by PG Madhavan on March 8, 2016 at 11:30am — No Comments