DZone’s Machine Learning Trend Report
Oct. 14th, 2019
The terms “artificial intelligence” and “machine learning” are often treated as though they’re interchangeable, but they shouldn’t be.
ML is AI, but AI isn’t necessarily ML. Artificial intelligence, or AI, is simply and most broadly defined as “the use of computers to mimic
the cognitive functions of humans.” Machine learning, or ML, occupies a more narrow category within that definition — it involves machines training with models and “learning” from existing data in order to make predictions. In order for a machine to learn, in other words, algorithms allow it to explore data and extrapolate based on specific objectives.
ML is AI, but AI isn’t necessarily ML. Artificial intelligence, or AI, is simply and most broadly defined as “the use of computers to mimic
the cognitive functions of humans.” Machine learning, or ML, occupies a more narrow category within that definition — it involves machines training with models and “learning” from existing data in order to make predictions. In order for a machine to learn, in other words, algorithms allow it to explore data and extrapolate based on specific objectives.