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Post by account_disabled on Dec 5, 2023 0:12:22 GMT -5
Although they are related, they do not mean the same thing. Learn what each of these technologies is. AI is the ability of the machine to imitate some human characteristics such as visual perception, speech recognition, decision making and language translation. There are many ways to simulate human intelligence, and some methods are smarter than others, whether it is a simple statement of logic or a complex statistical method. Machine learning Machine learning is a subset of AI. That is, all machine learning has AI, but not all AI has machine learning. This technology is the ability of machines to Phone Number List learn without being explicitly programmed, adjusting to provide a response according to the data available for analysis. One aspect that separates machine learning from other intelligent systems is its ability to modify itself when exposed to more data, that is, machine learning is dynamic and does not require human intervention to make certain changes. That makes it less fragile and less dependent on human specialists. Deep learning Deep learning is a subset of machine learning. Generally, when people use this term they are referring to very complex, artificial neural networks. Deep artificial neural networks are a set of algorithms that set new records in accuracy for many important problems, such as image recognition, sound recognition, recommendation systems, among others. Evolution of Machine Learning Thanks to new computing technologies, today's machine learning is not like the machine learning of the past.
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