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8min chapter
047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised
Super Data Science: ML & AI Podcast with Jon Krohn
Understanding Self-Organizing Maps for Unsupervised Learning and Fraud Detection
The chapter delves into the concept of self-organizing maps (SOMs) as a neural network for detecting features in complex datasets without supervision. It explores practical applications of SOMs in fraud detection, such as analyzing credit card application data to identify potential fraudulent activities.
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