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In the year 400 BC. C., Archytas of Taranto, a Greek philosopher, mathematician and astronomer, invented a wooden dove capable of flying by itself using water vapor . This was considered the first robot in history. Since then, even long before, human beings have not stopped inventing increasingly complex machines with the aim of imitating the complexity of the human brain and intelligence, with the aim of making our lives easier. Machine learning is the latest in artificial intelligence technology, which is trying to ensure that a machine is capable of “thinking for itself”, thanks to the ability to learn about everything that is indicated to it with the objective. to increasingly improve their own decision making. Would you like to know what machine learning is , how it works and how it will change the world as we know it? In this article, you will learn the basics of the exciting world of machine learning and artificial intelligence (AI). What are machine learning and artificial intelligence (AI)? Machine learning, also known as automatic learning, is a branch of artificial intelligence that aims for a computer to execute new and better actions for which it has not been initially programmed , analyzing a large amount of data from which it extracts information.
Necessary to “learn” and predict future situations. It is an advanced technology that takes artificial intelligence to its maximum expression, since, in a way, it allows software to execute tasks precisely without the need for a human to tell it , thus imitating in an incredibly close to human intelligence. Machine learning focuses Europe Mobile Number List on pattern recognition, data analysis and statistics , and this is the basis on which it is based. Thanks to these capabilities, machines can convert a large set of “meaningless” figures and data into knowledge, which can be very useful both for making their own decisions without the need for human intervention, and for people to expand their field of vision. knowledge and reduce errors in decision making. cta text What is machine learning for? Machine learning is used to solve complex problems in an automated or semi-automated way . Such problems would be very difficult to solve without this automation, as it would take too long to analyze all the necessary data to arrive at the most appropriate solution.
However, thanks to pattern recognition and machine learning, we can: - Improve decision making : decisions based on data and patterns are usually much more accurate than those based on intuition or superficially analyzed data. Machine learning transforms data into knowledge that allows you to make better decisions. - Reduce errors : time is a key factor in machine learning. The more time a machine spends analyzing new data, the more robust the system will be. This helps organizations avoid making the same mistakes or avoid new ones, thanks to the identification of negative trends. - Improve customer service : machine learning allows us to improve customer service and offer personalized products and services automatically, something similar to what happens with Internet advertising. This is achieved by analyzing known customer data. - Cybersecurity : most malware uses similar codes and patterns, so machine learning is a really effective tool to prevent computer attacks that are repeated thanks to machine learning. - Process automation : one of the great objectives of machine learning is to prevent humans from wasting their valuable time on repetitive tasks. Machines can learn to perform increasingly complex tasks to execute them accurately and quickly, just as (or even better) than a person would do.
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发表于 2024-3-7 15:26:54