Machine Learning (ML)

What is Machine Learning (ML)?

Machine Learning (ML) is a subset of Artificial Intelligence that enables computer systems to learn from data and improve their performance over time without being explicitly programmed for every task. They identify patterns and make predictions or decisions based on the data they've processed.

Why is it important?

ML powers many intelligent applications, from spam filters and personalized recommendations to medical diagnoses and fraud detection. It allows systems to adapt and get smarter with more data, making them incredibly useful for solving complex problems and automating tasks.

Examples & Applications

• Email spam filters: Learn to identify and block unwanted emails based on patterns.
• Product recommendations: On online stores (like Amazon) that suggest items you might like based on your past purchases.
• Predicting stock prices: Analyzing historical data to forecast future market trends.

Related Concepts

• Artificial Intelligence: The broader field that includes machine learning.
• Data Science: The field of extracting knowledge and insights from data, often using ML techniques.
• Neural Networks: A type of machine learning model inspired by the structure and function of the human brain.