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2. Mathematics of artificial neural networks - Wikipedia

   en.wikipedia.org/wiki/Mathematics_of_artificial...

   Sometimes models are intimately associated with a particular learning rule. A common use of the phrase "ANN model" is really the definition of a class of such functions (where members of the class are obtained by varying parameters, connection weights, or specifics of the architecture such as the number of neurons, number of layers or their ...

3. Tensor (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Tensor_(machine_learning)

   In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...

4. Outline of machine learning - Wikipedia

   en.wikipedia.org/wiki/Outline_of_machine_learning

   Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]

5. Machine learning - Wikipedia

   en.wikipedia.org/wiki/Machine_learning

   A machine learning model is a type of mathematical model that, once "trained" on a given dataset, can be used to make predictions or classifications on new data.

6. Learning curve (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Learning_curve_(machine...

   In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]

7. Theoretical computer science - Wikipedia

   en.wikipedia.org/wiki/Theoretical_computer_science

   Theoretical results in machine learning mainly deal with a type of inductive learning called supervised learning. In supervised learning, an algorithm is given samples that are labeled in some useful way. For example, the samples might be descriptions of mushrooms, and the labels could be whether or not the mushrooms are edible.