Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Big data machine learning is best put to use in a recommendation engine. It combines context with user behavior predictions to influence user experience based on their activities online.

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the ...

Machine learning apps use Python’s memory-managed constructions more for the sake of organizing an application’s logic or data flow than for performing actual computation work.

For most scenarios, whether its analytics, machine learning or app development, Python is not the only language being used. Rather it's often paired with SQL, Java and other languages used by ...

Utility giant EDF UK wanted to find a way to exploit its disparate treasure troves of data assets and create pioneering services for its customers using up-to-date data analytics and machine ...

Data integration is a prerequisite for building analytics and AI applications. In healthcare, it seems that NLP is quite important, too.

5 min read How Data Analytics Is Reshaping Asset Management Asset management firms are turning big data into opportunities. Here’s how to build a business case for advanced data analytics use cases.