Discover how AI can learn without explicit instructions! In this episode of Before AGI, we unlock the secrets of unsupervised and self-supervised learning – powerful techniques that allow AI to discover hidden patterns and structures in data, all on its own.
Key Insights:
The core principles of unsupervised learning: finding hidden structure in unlabeled data.
Key techniques: clustering (K-means, GMMs, DBSCAN), dimensionality reduction (PCA, t-SNE), and association rule mining.
Real-world applications: customer segmentation, anomaly detection, and recommendation systems.
The advantages of learning from unlabeled data: scalability, discovery, and efficiency.
Introduction to Self Supervised Learning.
Whether you're a data scientist, a machine learning engineer, or simply fascinated by the power of AI, this episode reveals how these cutting-edge techniques are shaping the future of autonomous learning.
More from Host Ian Ochieng:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
