Bigger is always better, right? Well, not necessarily. Even in the realm of big data, companies and governments are beginning to see the value in a “less is more” app...
By Ross Parks. It’s January (now February), which means everyone will be posting his or her predictions for 2016. The blog post predictions I’ve read so far are vagu...
In recent blogs, I wrote about using codified narrative as a form of data. I also discussed using attribution models to systematically evaluate codified narrative for ont...
Guest blog post by Kumar Chinnakali A Data Lake has flexible definition, to make this statement true the dataottam team took initiative and released a eBook called �...
Summary: What do you need to do to get an entry level job in data science? This article is written for anyone who is considering becoming a data scientist. That inclu...
For the past years, one of the main concerns of businesses and consumers is data security. As technology progresses, digital thieves have become more persistent in stagin...
Contributed by Wanda Wang. She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to Jul...
By: Mac Bryla What makes a good data analyst? This is a question I get regularly asked as I help people explore ways to see and understand their ever-growing volume of da...
Summary: The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms. Some of these offer true One-Clic...
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whet...