Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...

Supervised learning tends to get the most publicity in discussions of artificial intelligence techniques since it's often the last step used to create the AI models for things like image recognition, ...

Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.

The training process for artificial intelligence (AI) algorithms is designed to be largely automated innately. There are often thousands, millions or even billions of data points and the algorithms ...

This is part Three of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first two described supervised and unsupervised learning and gave examples of business ...

Managers often have fun when talking to their technical staff. When it comes to artificial intelligence, that fun can have quote marks around it. A few years back, Nvidia CEO Jensen Huang was talking ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Semi-supervised and unsupervised learning methods seek to extract structure and predictive power from data when labelled examples are scarce or absent. Unsupervised learning targets patterns and ...

An AI machine learning method that trains a neural network by example. Supervised learning feeds the network predefined and labeled inputs in both the training and fine-tuning stages of the model.