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Sult in the ability to imitate humans, it includes several technologies. Machine Learning The first pillar of AI is machine learning, through which computers become capable of learning and evolving. In technology, what happens is the logical processing of data and the identification of patterns that generate intelligence. Without Machine Learning , what we understand as artificial intelligence would not materialize. Today, for example, Amazon is widely using.
technology to make more personalized and relevant recommendations for Chinese Australia Phone Number List customers. the machine monitors all customer actions on the site and identifies patterns, such as when customers who viewed product X also show interest in Y. Therefore, when a user performs the first search , the system indicates another product because it recognizes that there is a relationship between the searches. In Machine Learning, these patterns are identified in infinite networks, so that there are thousands of intersection points that are connections between information, thus allowing large-scale intelligence . ADVERTISEMENT Deep.
Learning Another essential concept for the realization of current AI is Deep Learning , which consists of a deepening of Machine Learning, making it more intelligent and complex. Technology uses more sophisticated tools that make the results better. For example, in the same Amazon example cited, the technology identifies exceptions so as not to make low-quality suggestions. If out of customers searching for a smartTV continue their search with the home theater, the software understands this as a relevant indication. However, if five users after searching for smartTV begin a search for .
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