Machine learning (ML) enables computers and machines to learn from data without being explicitly programmed. In other words, machine learning allows machines to learn patterns and make predictions based on examples rather than following strict rules.
Machine learning algorithms can be used to analyze and make predictions on large datasets and are used in various applications, such as image recognition, natural language processing, and recommendation systems. Machine learning algorithms are also commonly used in the finance, healthcare, and transportation industries to make data-driven decisions.
One of the key benefits of machine learning is its ability to improve over time as it is exposed to more data. This process is known as “learning from experience” or “learning by example.” Machine learning models can also be trained to identify patterns and relationships that are not immediately apparent to humans.
Machine learning is a powerful tool for enabling machines to learn from data and make predictions based on that learning.