Machine learning and data science are two separate concepts that are related to the field of artificial intelligence (AI), but both rely on data. This interesting topic came to us from Unite.AI in their article, “Machine Learning vs Data Science: Key Differences.”

In the 21st Century, the two terms are some of the most searched in the technology world. Both machine learning and data science are also highly sought after career paths in our current data-driven world.

The most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems and spam detectors.

Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.