Understand what is the concept of “Machine Learning” 6o5442

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It may seem complex, but this idea is old and is being used today more than we can imagine.

O CGP Gray is one of the best channels Science do Youtube where complex concepts are demystified and placed in a fun and simple way for the to learn. Recently, one of the videos focused on the concept of “Machine Learning”, an idea of ​​computing that has been gaining the attention of many but not very well understood. 5r1416

Collect, test and select 2l471b

For those who are not fluent in English or want a more succinct explanation of this mysterious concept, just know that the Machine Learning (Machine Learning, in English) is a field of study of Computer Science that studies pattern recognition for the computational learning of Artificial Intelligences. Very complicated? Well, it's simpler than it looks.

This subfield was created a long time ago, back in 1959 when the scientist Arthur Samuel defined that machine learning should explore the study and construction of algorithms that could learn from their mistakes and make predictions about data. That is, creating computer programs that, based on the mistakes they made in tests, could improve and be more "Smart".

Understand what is the concept of "machine learning". It may seem complex, but this idea is old and is being used today more than we can imagine.

And as the video shows, those programs that have been refined and perfected after ing numerous tests are the "bots" (small robot programs), goods more valuable than companies like Facebook, Youtube and Twitter have. They are responsible for indicating to the which posts he may be interested in, which videos to recommend or even which personalities he may wish to follow on social networks.

Through a simple method of trial and error that has gigantic databases where programs can practice their various tests, we are able to create programs that, even not being endowed with an actual "intelligence", can now choose and select results with more precision and greater chance of success than others that use more elaborate and computationally expensive algorithms.

So, the next time you access your favorite social network or even a shopping site and you are surprised by the fact that everything in your virtual environment seems to know exactly what you want to see, hear or even buy, know that there is a simple program , but powerful behind every suggestion you find on the Internet.

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