Machine Learning
Machine learning enables computers to learn from data and make predictions or decisions without being explicitly programmed for every scenario.
Overview
Machine learning involves building algorithms that can learn from data and make predictions or decisions. ML models improve their performance through experience with data.
Machine learning includes supervised learning (classification, regression), unsupervised learning (clustering), and deep learning (neural networks).
Key Technologies
Frameworks
Tools
Key Concepts
Supervised Learning
Train models on labeled data to make predictions or classifications.
Unsupervised Learning
Discover patterns in unlabeled data through clustering and dimensionality reduction.
Deep Learning
Build neural networks with multiple layers to learn complex patterns in data.
Model Evaluation
Evaluate model performance using metrics like accuracy, precision, recall, and F1 score.