Machine learning (ML)

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Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions.
What exactly machine learning?
What is machine learning? Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
What are the 4 basics of machine learning?
There are four basic types of machine learning: supervised learning, unsupervised learning, semisupervised learning and reinforcement learning. The type of algorithm data scientists choose depends on the nature of the data.

What is machine learning in basic terms?
Machine learning enables computers to act and make data-driven decisions rather than being explicitly programmed to carry out a certain task. Machine Learning programs are also designed to learn and improve over time when exposed to new data.

What are the 3 types of machine learning?
Machine learning involves showing a large volume of data to a machine to learn, make predictions, find patterns, or classify data. The three machine learning types are supervised, unsupervised, and reinforcement learning.

What is machine learning with example?
For example, a machine learning algorithm may be “trained” on a data set consisting of thousands of images of flowers that are labeled with each of their different flower types so that it can then correctly identify a flower in a new photograph based on the differentiating characteristics it learned from other pictures .
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