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Artificial intelligence is already changing the way we communicate with one another, plan our day and even shop.
Aside from these basic, consumer applications of artificial intelligence, it’s also being used by companies of all sizes today to reduce operational costs, communicate with customers and prevent cybersecurity attacks. The advantages are real, but many companies struggle to determine if it makes sense for their business.
To help you better understand the types of artificial intelligence and determine if it’s right for your business, we’ve outlined the differences and provided examples of each. We’ll cover:
What is the difference between artificial intelligence, machine learning and deep learning?
When to use deep learning versus machine learning
The difference between supervised and unsupervised machine learning
How supervised machine learning can be used
How unsupervised machine learning can be applied
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning?
AI is the umbrella term used to describe the various types of artificial intelligence. Or think of it like this: artificial intelligence is the broad term that’s used to describe the idea of machines being able to carry out tasks, like humans.
Artificial intelligence is defined as a type of computer science that enables computers and software to behave intelligently. Artificial intelligence can recognize speech, learn, plan and problem solve.
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