What is machine learning in layman's language?

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Accepted Answer

Machine Learning is a subset of AI that enables systems to learn from data and improve over time without explicit programming.

Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning.
Supervised Learning Example: Predicting house prices based on features like size and location.
Unsupervised Learning Example: Customer segmentation in marketing based on purchasing behavior.
Reinforcement Learning Example: Training robots to navigate environments through trial and error.
Applications: Image recognition, natural language processing, and recommendation systems.

Accepted Answer

Machine learning 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 recently artificial neural networks have been able to surpass many previous approaches in performance

Accepted Answer

Mechine learning is a branch of artificial intelligence and computer science which focuses on the use of data and algorithms to imitate the way that humans learn , gradually improving it's accuracy.

Accepted Answer

It is a branch of computer science which focuses on the use of data and algorthims to intimate the way that humans learn.

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What is machine learning in layman's language?

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