1) You can picture yourself being introduced as a data scientist without blushing. Data science is more than a career, it is a lifestyle that requires committing to be a ...
Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. It has originally been developed at UC Berkeley in ...
In this latest Data Science Central podcast, you will hear about how SAS is accelerating the machine learning lifecycle from data preparation, to model building, and to d...
The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been de...
In my last article, I had introduced you to the concept of Market Mix Modeling. If you want a refresher, please click on the this link. This article is in continuati...
In our last post, we explained the basics of streaming with Spark. Today, we want to talk about graphs and explore Apache Spark GraphX tool for graph computation and ana...
This article was written by Bob Hayes A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%),...
PHP, known as the most popular server-side scripting language in the world, has evolved a lot since the first inline code snippets appeared in static HTML files. These da...
Spark is a powerful tool which can be applied to solve many interesting problems. Some of them have been discussed in our previous posts. Today we will consider another i...
Nowadays data proves to be a powerful pushing force of the industry. Big companies representing diverse trade spheres seek to make use of the beneficial value of the data...