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A model is transparent "if the processes that extract model parameters from training data and generate labels from testing data can be described and motivated by the approach designer." [ 15 ] Interpretability describes the possibility of comprehending the ML model and presenting the underlying basis for decision-making in a way that is ...
The data set lists values for each of the variables, such as height and weight of an object, for each member of the data set. Each value is known as a datum. The data set may comprise data for one or more members, corresponding to the number of rows. data warehouse (DW or DWH) Also enterprise data warehouse (EDW).
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
The "signal" is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the activation function. The strength of the signal at each connection is determined by a weight , which adjusts during the learning process.
The central connectionist principle is that mental phenomena can be described by interconnected networks of simple and often uniform units. The form of the connections and the units can vary from model to model. For example, units in the network could represent neurons and the connections could represent synapses, as in the human brain.
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BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
AI-enriched KPIs, or "smart KPIs," improve on legacy metrics that simply track performance, according to the authors, who identified three types of smart KPIs: descriptive, predictive, and ...