This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This ...

Customer segmentation can help reduce waste in marketing campaigns. If you know which customers are similar to each other, ... K-means clustering is an unsupervised machine learning algorithm.

Especially when paired with 5G’s high-speed and low-latency traits and network segmentation capabilities, unsupervised learning tactics will allow enterprises to remain one step ahead of bad actors.

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.

“Unsupervised learning is particularly useful in identifying activities that don’t fit existing rules but may still be suspicious,” Purcell adds. In retail and e-commerce, clustering enables more ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

Customer segmentation, the practice of dividing a market into distinct groups with common needs, behaviors, or characteristics, has long been the cornerstone of successful marketing strategies.