PocketMCP

# Machine Learning Basics Machine learning is a branch of artificial intelligence that focuses on algorithms that can learn from and make predictions on data. ## Key Concepts - **Supervised Learning**: Learning with labeled training data - **Unsupervised Learning**: Finding patterns in data without labels - **Neural Networks**: Computational models inspired by biological neural networks - **Deep Learning**: Neural networks with multiple layers ## Popular Algorithms 1. Linear Regression 2. Decision Trees 3. Random Forest 4. Support Vector Machines 5. k-Means Clustering