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Dictionary / Machine learning

Machine learning

Last updated August 14, 2023

What is machine learning?

Machine learning is a subset of artificial intelligence (AI) that involves the development of algorithms and models that enable computers to learn and improve from experience instead of being explicitly programmed to perform a specific task.

The fundamental idea behind machine learning is to allow computers to automatically find patterns, make predictions, or solve complex problems without being explicitly programmed for each possible scenario.

Some of the popular main model types of machine learning are .

Machine learning in practice

In practice, machine learning creates value when it turns complex data into better decisions. That’s exactly how Hakios forecasting software applies it: The uses ML to forecast demand and shape assortments and channel strategies. And with the , machine learning models keep core products available in real time - balancing never-out-of-stock goals with lean inventory.

FAQ

Artificial intelligence (AI) is the broader concept of creating machines capable of performing tasks that typically require human intelligence. Machine learning is a specific approach within AI that enables machines to learn from data.

No, deep learning is a subset of machine learning that focuses on with multiple layers (deep neural networks). Deep learning has shown remarkable success in tasks like image and speech recognition.