Machine Learning

What is Machine Learning? Machine Learning is part of artificial intelligence, they are ways and forms of learning, some are by classification, regression, supervised, and unsupervised or reinforcement learning; In short, it is when we want a robot or a machine to learn or behave in a similar way to how a human would learn and it is not limited to that, but also if it can do better, because it is a robot. You have played Chess or another computer game with the computer. In games or video games, Machine Learning learns according to the actions that a player performs within the video game, that is, if we have an NPC, which is a character that is not moved by a player, that character has an intelligence artificial which for example what it does is follow the player like so if the player moves to the left our npc character will have to follow a player in that direction so it really works that way in a lot of realms it's also the subject is quite broad. In chess, in my opinion, this technology is not used much, rather in a set of programming commands so that by applying defined rules it makes the best move, without implying any neural network; I have played against the machine and sometimes it makes the same mistakes, that is, it has not learned.

Use Machine Learning on your mobile. Creo que no uso ninguna aplicación que use abiertamente Machine Learning, I think most of us use much larger platforms that use this technology to "give" us a better experience, such as Google, Facebook, YouTube, etc., such as voice recognition, or Apple equipment such as Siri or Amazon with Alexa; Machine Learning applications are used by large companies that require data analysis, in different projects, in different phases and levels; For example, risk in banking, where the final objective of the application would be to know the probability with which a client will return the credit that he lends. Another area where Machine Learning technology is applied to a great extent is in Digital Marketing, where you analyze people's feelings on a certain product and quality of service. Advantages and disadvantages of Machine Learning. As I said before, this technology has been developed for data analysis of large companies; The highlighted advantage is an increase in the management in the analysis of large amounts of data, another advantage is that, if a model works and is applied well, it can be used in other similar areas without the need to reconfigure the model and generally improve efficiency in any process applied to it. I don't see any disadvantage in the application of this technology, the only disadvantage is that it renders the old analysis models that have been used useless.

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