A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals. Continued…
Quote of the Day
“Beyond math skills, data scientists must be able to think creatively and develop context around the data in order to tell a story.” – Jason Cline
Building a data science team in today’s data-centric climate
It isn’t easy building a data science team in today’s data-centric world, in which machine learning and AI are hot. In a recent webinar, a Gartner analyst offered tips and recommendations on how to do it.
How a healthcare data scientist can aid in value-based care
The government wants providers to move from fee-for-service to value-based care. A healthcare data scientist can analyze patient data to improve outcomes.
Big data throws bias in machine learning data sets
Data bias in machine learning data sets is a big problem for AI, and correcting it is no small feat.
New data science platforms aim to be workflow, collaboration hubs
A group of rival workbench-style data science platforms offer users a centralized environment for managing advanced analytics projects involving teams of data scientists — and Oracle’s acquisition of startup DataScience.com brings another major IT vendor into the fold.
Two data scientists offer advice on breaking down siloed data
Two data scientists address the ever-present issue of siloed data and offer advice to IT leaders on how to deal with it.
The core components in the first iteration of this big data framework included MapReduce.
a. What is Hadoop?
b. What is Splunk?