Arthur Samuel coined the term machine learning in 1959 and defined it as a “Field of study that gives computers the capability to learn without being explicitly programmed”. That was the beginning of Machine Learning. Today, it is still that and so much more. The Machine Learning Times brought this topic to us in their article, “The First Rule of Machine Learning: Start without Machine Learning.”

Machine learning is the use of artificial intelligence (AI) to enable machines to learn a task from experience without programming them specifically about that task. This process starts with feeding them good quality data and then training the machines by building various machine learning models using the data and different algorithms. A controlled vocabulary is needed to ensure that the machine-assisted or fully automated indexing is comprehensive, regardless of what you are indexing.

Making data accessible is something we know a little about. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Data Harmony is Access Innovations’ AI suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts.

Melody K. Smith

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.