Machine Learning and AI Foundations: Clustering and Association
Released/Updated: January 31, 2024
Duration: 3h 33m 5s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 551 MB
Genre: eLearning | Language: English
Released/Updated: January 31, 2024
Duration: 3h 33m 5s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 551 MB
Genre: eLearning | Language: English
Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data into known categories but uncovering hidden patterns. Unsupervised learning plays a big role in modern marketing segmentation, fraud detection, and market basket analysis. This course shows how to use leading machine-learning techniques—cluster analysis, anomaly detection, and association rules—to get accurate, meaningful results from big data.
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