We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and ...

As the most active open-source project in the big data community, Apache SparkTM has become the de-facto standard for big data processing and analytics. Spark’s ease of use, versatility, and speed has ...

As I wrote in March of this year, the Databricks service is an excellent product for data scientists. It has a full assortment of ingestion, feature selection, model building, and evaluation functions ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Check out tools and projects done with the Ada and SPARK programming languages Learning a new programming language can be fun and interesting. Ada and SPARK, a version of Ada that allows static proof ...