A subset of AI that allows systems to learn and improve from experience without being explicitly programmed.
More about Machine Learning (ML):
Machine Learning (ML) is a method of data analysis that automates analytical model building. It uses algorithms that iteratively learn from data, allowing computers to find hidden insights without being specifically programmed where to look.
ML focuses on the development of algorithms that can access and learn from data. Over time, the system improves its performance, refining its algorithms as more data becomes available.
Frequently Asked Questions
How does Machine Learning differ from traditional programming?
In traditional programming, specific instructions are given to a computer to perform a task. In Machine Learning, the system is trained using data and algorithms to learn how to perform a task without explicit instructions.
Are AI and Machine Learning the same thing?
No, Machine Learning is a subset of AI. While AI encompasses a broader spectrum of capabilities, including reasoning and problem solving, ML specifically focuses on the use of algorithms and statistical models to let machines improve their performance on a specific task through experience.
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