Term of the Moment
high tech
Definition: machine learning
The predominant AI method. In the 1980s, AI "expert systems" were programmed like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by example," which means they are trained on data and in some cases, on all human knowledge (see AI training). For other approaches to developing AI systems, see AI types.
The Neural Network
Machine learning software is implemented in a neural network. "Deep learning" is a neural network with many layers of analysis, and transformers are a more advanced neural network. See neural network, deep learning and AI transformer.
Pattern Recognition
Machine learning is used in face and voice recognition, medical diagnosis, ad serving, spam filtering and sales forecasting. Today's virtual assistants and chatbots are also the result of machine learning. As more samples become available and more fine tuning is applied, the resulting AI model becomes more dependable. See AI training vs. inference.
The Hierarchy
Well Said
The Neural Network
Machine learning software is implemented in a neural network. "Deep learning" is a neural network with many layers of analysis, and transformers are a more advanced neural network. See neural network, deep learning and AI transformer.
Pattern Recognition
Machine learning is used in face and voice recognition, medical diagnosis, ad serving, spam filtering and sales forecasting. Today's virtual assistants and chatbots are also the result of machine learning. As more samples become available and more fine tuning is applied, the resulting AI model becomes more dependable. See AI training vs. inference.
Machine learning (ML) is a major category of AI. Approximately 80% to 90% of modern AI systems use machine learning models, and deep learning is an advanced form of ML (see deep learning).
This comparison of machine learning programming and traditional programming comes from Techopedia's "The Ultimate Guide to Applying AI in Business."