Machine Learning: It's Not AI or Deep Learning
The confusion is real, but so are several aspects that make machine learning (ML) different from artificial intelligence (AI).
Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate results or give predictions based on that data.
Artificial intelligence, on the other hand, is a field of computer science that makes a computer system that can mimic human intelligence. The artificial intelligence system does not require to be pre-programmed. Instead, it uses algorithms which can work with its own intelligence.
Machine learning, essentially, is a type of artificial intelligence. Where artificial intelligence is the overall appearance of being smart, machine learning is where machines are taking in data and learning things about the world that would be difficult for humans to do.
But machine learning can go beyond human intelligence. Machine learning is primarily used to process large quantities of data very quickly using algorithms that change over time and get better at what they’re intended to do.
There’s also confusion over machine learning and deep learning. Machine learning and deep learning are the two main subsets of AI. Deep learning is the main subset of machine learning.
Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.
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Participants learn differences and similarities between machine learning, Artificial Intelligence, Deep Learning, Data Mining and Data Warehouse. Artificial Intelligence uses models built by machine learning to create intelligent behavior applied to businesses, marketing and sales, operations, autonomous cars, games and industrial automation by prediction based on rules and using programming languages and algorithms.
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