Machine Learning
ML
Simple Explanation
Machine learning is a way of helping computers learn from examples. Imagine teaching a child to recognize different kinds of fruit. You show them pictures of apples, oranges and bananas. After seeing enough examples, they begin to recognize the differences. Machine learning works in a somewhat similar way. A computer examines many examples, looks for patterns and uses those patterns to make predictions about new information. It doesn't learn exactly like a person, and it can make mistakes when the examples are incomplete or misleading.
Technical Explanation
Machine learning is a branch of artificial intelligence that develops computer systems capable of identifying patterns in data and using those patterns to make predictions or decisions. Rather than programming every possible rule individually, developers train a model using examples or other information.
Business Use Case
A bank processes thousands of payments every day. Its security team cannot manually investigate every transaction, so the bank uses machine learning to identify unusual payment activity. The system learns patterns associated with normal transactions and potential fraud. When a payment looks suspicious, it may flag the transaction for additional checks. This helps the bank investigate possible fraud more quickly, protect customers and reduce financial losses.
Real-Life Example
Imagine Daniel uses an email account to stay in touch with friends and family. Occasionally, he receives unwanted messages advertising suspicious products or asking him to click strange links. His email service uses machine learning to recognize patterns found in unwanted messages. Many of these emails are automatically moved into a spam folder, saving Daniel time and reducing the number of suspicious messages in his inbox.
A bank's system studies examples of normal payments and known fraud to learn patterns, a new purchase looks unusual compared with the learned patterns, and the bank requests an extra security check or investigates the payment.
Machine learning helps recognize patterns and flag possible problems. It doesn't automatically know whether every unusual payment is fraudulent.