AI Term of the Moment
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Definition: machine learning
Dating back to the 1950s, machine learning means software that is programmed by example. However, in the early days, the world's information was not available online. Today's approach is a "deep learning" network with millions and billions of connections. See neural network, AI training and AI types.
The Deep Learning Neural Network
A "deep learning" model is a neural network with many layers, and the more layers, the "deeper" the learning. For now, transformers are the most advanced neural network architecture (see AI transformer). See neural network and deep learning.
Pattern Recognition
Used in a multitude of AI applications, machine learning is essentially learning patterns. As more samples are used and more fine tuning is applied, the final AI model becomes more dependable. See AI training vs. inference.
The Hierarchy
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The Deep Learning Neural Network
A "deep learning" model is a neural network with many layers, and the more layers, the "deeper" the learning. For now, transformers are the most advanced neural network architecture (see AI transformer). See neural network and deep learning.
Pattern Recognition
Used in a multitude of AI applications, machine learning is essentially learning patterns. As more samples are used and more fine tuning is applied, the final 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 the most advanced form.
This comparison of machine learning and traditional programming comes from Techopedia's "The Ultimate Guide to Applying AI in Business."