What is machine learning

Machine learning is a type of artificial intelligence (AI) that allows a system to learn from data rather than through explicit programming. It's a process of data analysis that automates the building of analytical models.

Here are the steps to explain what machine learning is:

1. Definition: Machine learning is a method used to devise complex models and algorithms that lend themselves to prediction. In commercial use, this is known as predictive analytics. These models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results.

2. Learning without being programmed: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

3. Adapting to new data: Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. The central principle of machine learning is that computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

4. Types of machine learning: There are several types of machine learning, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Each type has its own strengths and weaknesses, and is suited to different types of tasks.

5. Applications of machine learning: Machine learning is used in a variety of applications, such as email filtering, detection of network intruders, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task.