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Video TrainingMachine Learning and AI Foundations Clustering and Association



Machine Learning and AI Foundations Clustering and Association
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.
Instructor Keith McCormick reviews the most common clustering algorithms: hierarchical, k-means, BIRCH, and self-organizing maps (SOM). He uses the same algorithms for anomaly detection, with additional specialized functions available in IBM SPSS Modeler. He closes the course with a review of association rules and sequence detection, and also provides some resources for learning more.
All exercises are demonstrated in IBM SPSS Modeler and IBM SPSS Statistics, but the emphasis is on concepts, not the mechanics of the software.
Duration: 3h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 532 MB



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Video TrainingMachine Learning with Python k-Means Clustering



Machine Learning with Python k-Means Clustering
Released 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 49m | Size: 127.7 MB



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Video TrainingPragmatic Ai - K-means Clustering Theory Algorithm Implementation and Scaling



Pragmatic Ai - K-means Clustering Theory Algorithm Implementation and Scaling

Pragmatic Ai - K-means Clustering Theory Algorithm Implementation and Scaling-iLLiTERATE
English | Size: 502.99 MB
Category: Tutorial

Learn to use K-Means clustering from theory to implementation

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Video TrainingUdemy - Master Clustering Analysis using Python 2022





Udemy - Master Clustering Analysis using Python 2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 55 lectures (3h 10m) | Size: 2.85 GB
Become an expert and solve Real World Problems using Clustering Analysis and Python



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Video TrainingSkillshare - Machine Learning K-Means Clustering





Skillshare - Machine Learning K-Means Clustering
Video: .MKV, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 1h 32m
Genre: eLearning | Language: English | Size: 627 MB
Cluster analysis is a staple of unsupervised machine learning and data science.



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