Data lakes were built for big data and batch processing, but AI and machine learning models need more flow and third party connections. Enter the data hub concept that'll likely pick up steam.

Let's discuss how machine learning has evolved the marketing industry and how companies leverage it for profits and growth.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concepts and Spark MLlib library for running predictive analytics using a sample ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

Check out these best practices that are designed to help your data preparation initiatives in machine learning.

A brief guide to data visualization, data analytics, and data science platform capabilities and differences, and seven steps to selecting the right data platform for your needs.

How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand.

And because this is Apple, there’s also a privacy focus, too — Core ML is for on-device processing, meaning the data that developers use to improve user experience won’t leave customers ...