Artificial Intelligence
Unsupervised Learning & Recommendation Systems
Unsupervised Learning & Recommendation Systems is a course in AI & Machine Learning Mastery: From Zero to Practitioner. 10 lessons covering k-Means Clustering: Finding Hidden Groups in Your Data; Hierarchical Clustering: Building a Map of Your Data; DBSCAN: Detecting Anomalies and Non-Spherical Clusters.
10 published lessons · Online learning · Part of Learn & Grow
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What this course covers
- k-Means Clustering: Finding Hidden Groups in Your Data · 13 min
- Hierarchical Clustering: Building a Map of Your Data · 12 min
- DBSCAN: Detecting Anomalies and Non-Spherical Clusters · 14 min
- PCA — Shrinking Your Data Without Losing the Signal · 13 min
- t-SNE and UMAP — Visualising Complex Data in 2D · 13 min
- Association Rules and Market Basket Analysis · 13 min
- Collaborative Filtering — How Recommendation Engines Know What You Want · 14 min
- Content-Based Filtering — Recommending by What Things Are · 12 min
- Hybrid Recommendation Systems — Combining Signals for Superior Results · 14 min
- Unsupervised Learning Capstone — Nigerian Market Segmentation · 15 min
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This course belongs to AI & Machine Learning Mastery: From Zero to Practitioner. Explore the full academy to see the other courses in this learning path.
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