Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that proved to...
In this article we discuss popularity of various software programs used for data analysis which are mentioned in various reviews published online in the period between 20...
In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent langu...
If you are on Facebook, you’ve probably seen their ads to attract candidates to data science positions. You’ve probably seen ads featuring many young women wo...
Summary: There are an increasing number of larger companies that have truly embraced advanced analytics and deploy fairly large numbers of data scientists. Many of th...
Data science had broad applications across many different industries. If we focus on industries that are in the business of buying (some or all) of a company, then tryi...
In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing a...
This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal) We ad...
Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics...
R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical comp...