Questions tagged [terminology]

For questions related to the definition of and use of terminology in the context of Artificial Intelligence

The Structure of Scientific Revolutions, 1962, University of Chicago Press, by Thomas Kuhn, Former MIT Professor of Physics and historian (also coiner of the term Paradigm Shift) — covers the meaning of Normal Science and the importance of a jargon and a class of problems that defines an area of study and permits (but also constrains) scientific collaboration

Linguistic and psycholinguistics twelve years after Chomsky's review of Skinner's verbal behavior, HS Cairns, CE Cains, Revista Interamericana de Psicologia, 2017 - journal.sipsych.org

On the missing link in ecology: improving communication between modellers and experimentalists, Jan Heuschele, Mikael T. Ekvall, Patrizio Mariani and Christian Lindemann, Oikos, 2017

https://en.wikipedia.org/wiki/Jargon

https://en.wikipedia.org/wiki/Acronym

https://en.wikipedia.org/wiki/Specification_(technical_standard)

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Is AI entirely a part of Computer Science?

Both AI and Computer Science are Sciences, as I understood from Wikipedia, Computer Science is everything that has any relation to computers. And AI is commonly defined as Study of machines that take the prerogative of humans (creating musical…
Philippe
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Describing the order of a tensor

When describing tensors of higher order I feel like there is an overloading of the term dimension as it may be used to describe the order of the tensor but also the dimensionality of the... "orders"? Assume one describes the third-order tensor…
weidler
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What is the difference between “AI Methods” and “AI Techniques”?

These are words that we frequently come upon. What can be said about the differences? Would these two words' subheadings be different?
NCC1701
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Assume 120 examples, a model makes 20 correct predictions and updates weight for the other 100. Should I count this epoch 100 iterations or 120?

Per google's glossary, an iteration refers to A single update of a model's weights during training ... The following code comes from a github repo def fit(self, x, y, verbose=False, seed=None): indices = np.arange(len(x)) for i in…
JJJohn
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Confusion between function learned and the underlying distribution

Let us assume that I am working on a dataset of black and white dog images. Each image is of size $28 \times 28$. Now, I can say that I have a sample space $S$ of all possible images. And $p_{data}$ is the probability distribution for dog images. It…
hanugm
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What's the difference between a static AI and a dynamic AI?

I recently watched a YouTube video (sorry, can't remember the link) where (a very talented) someone created what they called a "static AI". Somewhere in the video they said something along the lines of: "this is a static AI, it's very simple and…
Malekai
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Is my understanding about the number of iterations correct?

Per google machine-learning glossary, when I have 100 training examples and update my model for each training example, if I train my model 5 epochs without early-stop, there are 500 iterations in total, is my understanding correct?
JJJohn
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Does this code mean the model trains 10 epochs?

Here is an implementation for Perceptron class Perceptron: def __init__(self, eta=.1, n_iter=10, model_w=[.0, .0], model_b=.0): self.eta = eta self.n_iter = n_iter self.model_w = model_w self.model_b = model_b …
JJJohn
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