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 ...
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 ...
Figure 1: Classification of time-lapse data into cell morphology classes by unsupervised and supervised methods. Figure 2: Unsupervised classification of images with different morphology markers and ...
This paper describes the use of supervised methods for the classification of vegetation. The difference between supervised classification and clustering is outlined, with reference to their current ...
Companies in the fast-growing world of digital marketing have applied the use of ML to reach the right audience with the right message. As a transformational force, ML offers two different paradigms: ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...
The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for the diversity and unknowns of industrial defects. On the technical ...
Closed Loop Fracturing at scale enables unprecedented efficiencies, and performance optimization driven by live data interpolation and preconfigured decision trees. WILLOW PARK, Texas, Aug. 18, 2025 ...
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