Among the behaviors considered "intelligent" that computers are Last Database already capable of include learning new tasks, solving problems, capturing and analyzing information from the surroundings, etc. One of the challenges they Last Database still face is to improve their ability to understand contexts, mainly for the development of natural language, for which they need to broaden their understanding of semantics.5. In all these cases, the Last Database fundamental input of the systems is the data that the algorithms use to make one or several decisions.
The irruption of the internet, the ubiquitous Last Database availability of data, the almost massive capacity to collect that data and the computing power that is available today means that in recent years there has been an exponential deployment of Last Database machine learning (machine learning or machine learning) and deep learning . What is machine learning ?what is talked about so much? Machines, from complex medical devices to Last Database mobile devices, "learn" from the data they are fed or collect from their own sensors (so the more data they receive, the more they learn.
From the automated treatment of this data and its Last Database algorithms, they can establish predictions and inferences and make decisions. In deep learning , the machine learning process is a little more complex, but both cases are related to algorithms inspired by the structure and function of the brain, and that is why we speak of artificial neural networks ( rna ). the rnathey are computational models that process information by Last Database mimicking the functioning of biological neurons, and therefore are composed of nodes or "neurons" that receive, transmit and send information and are connected as a network. The rna are usually made up of multiple layers of hidden nodes, which are the ones that transmit the information between the nodes of the Last Database network –input and output–. These layers are known as "learning layers, and the greater.