The modern world is always listening.

Standards from the Financial Services Authority (FSA), Financial Conduct Authority (FCA), and the Commodity Futures Trading Commission (CFTC) now require stock traders to record all their phone calls.

When a person feels sufficiently wronged to lodge a complaint with the Consumer Financial Protection Bureau (CFPB), there’s likely to be some negative sentiment involved. But is there a connection between the language they use and the likelihood they will be compensated by the offending company?

Paradoxically, data scientists love their jobs overall but dislike what they do most: cleaning and organizing data.

A real world classifier has three components to it and we will look at each of these components individually to explain in a little bit more detail how a classifier works.

Technology is constantly changing, but people often find that change hard to handle. So when it comes time to update the tools your company uses, how do you avoid resistance from co-workers?

Microsoft announced that it is making a serious commitment to the open source Apache Spark cluster computing framework.

After dipping its toes into the Spark ecosystem last year, the company today launched a number of Spark-based services out of preview and announced that the on-premises version of R Server for Hadoop (which uses the increasingly popular open source R language for big data analytics and modeling) is now powered by Spark.

There is a lot of hype surrounding data and analytics. Firms are constantly exhorted to set strategies in place to collect and analyze big data, and warned about the potential negative consequences of not doing so. For example, the Wall Street Journal recently suggested that companies sit on a treasure trove of customer data but for the most part do not know how to use it.

The cloud makes dynamic-learning systems available and affordable -- but there aren't too many use cases for the technology

Machine learning is the new battle cry for the cloud world. Until cloud computing came along, machine learning was out of reach for most enterprise IT shops.