Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

As education technology and models have evolved over recent years, data-driven learning has become a necessity. To identify effective ways of creating more customized classroom experiences, many ...

Data-driven instruction may be the popular catchphrase in education, but in a recent edWebinar, the speakers advocated for data-driven learning. The student, they said, should be at the center of all ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

In what way is AI is reshaping data skills, teams, and upskilling strategies in the new year? For a strategic insight, ...

When I go to Amazon.com, the online store often recommends products I should buy. I know I'm not alone in thinking that these recommendations can be rather spooky—often they're for products I've ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing's Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone's ...

A group of researchers are launching an open-source database of chemical synthesis procedures that they think will benefit artificial intelligence algorithms for reaction prediction, synthesis ...