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The acronym MEAN was coined by Valeri Karpov. [6] He introduced the term in a 2013 blog post and the logo concept, initially created by Austin Anderson for the original MEAN stack LinkedIn group, is an assembly of the first letter of each component of the MEAN acronym. [7]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Stack Overflow is a question-and-answer website for computer programmers. It is the flagship site of the Stack Exchange Network . [ 2 ] [ 3 ] [ 4 ] It was created in 2008 by Jeff Atwood and Joel Spolsky .
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In general, as we increase the number of tunable parameters in a model, it becomes more flexible, and can better fit a training data set. It is said to have lower error, or bias . However, for more flexible models, there will tend to be greater variance to the model fit each time we take a set of samples to create a new training data set.
When bootstrap aggregating is performed, two independent sets are created. One set, the bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement.
The upright row is one exercise that can be performed on the cable machine. A cable machine is an item of equipment used in weight training or functional training.It consists of a rectangular, vertically oriented steel frame about 3 metres wide and 2 metres high, with a weight stack attached via a cable and pulley system to one or more handles. [1]
Full stack, full-stack or fullstack might refer to; Full stack, a player positioning strategy in the sport of pickleball; Fullstack Academy, a software engineering ...