Machine Learning

Machine Learning (ML) is a branch of artificial intelligence focused on building systems that can learn from and make decisions based on data. Unlike traditional programming where explicit instructions are provided, machine learning algorithms use statistical techniques to enable computers to "learn" from data and improve their performance over time.

The core process of machine learning involves:

• Training: Feeding data into an algorithm to build a model
• Validation: Testing the model on new data to ensure accuracy
• Deployment: Using the trained model to make predictions or decisions
• Refinement: Continuously improving the model with new data

Machine learning is typically categorized into three main types:

• Supervised Learning: Training on labeled data to predict outcomes
• Unsupervised Learning: Finding patterns in unlabeled data
• Reinforcement Learning: Learning optimal actions through trial and error

Machine learning powers numerous applications in modern technology, including recommendation systems, image recognition, natural language processing, fraud detection, and autonomous vehicles.