Machine Learning Quiz

The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence.

The mathematical foundations of ML are provided by mathematical optimization (mathematical programming) methods.

Machine learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can effectively generalize and thus perform tasks without explicit instructions.

<p>Machine learning approaches have been applied to large language models, computer vision, speech recognition, email filtering, agriculture, and medicine, where it is too costly to develop algorithms to perform the needed tasks.</p> Signup and view all the answers

<p>The synonym 'self-teaching computers' was also used in this time period.</p> Signup and view all the answers

<p>Classification = Identifying which category an observation belongs to Explanatory variables = Quantifiable properties of individual observations Classifier = Algorithm that implements classification Logistic regression = Procedure often used for classification in statistics</p> Signup and view all the answers

<p>Categorical = Blood type (e.g. 'A', 'B', 'AB', 'O') Ordinal = Size (e.g. 'large', 'medium', 'small') Integer-valued = Number of occurrences of a word in an email Real-valued = Measurement of blood pressure</p> Signup and view all the answers

<p>Distance function = Compares observations based on similarity Explanatory variables = Properties of observations in statistics Classifier = Implements classification in statistics Logistic regression = Procedure often used for classification in statistics</p> Signup and view all the answers

<p>Classification algorithm = Mathematical function that maps input data to a category Explanatory variables = Properties of observations in statistics Classifier = Algorithm that implements classification Logistic regression = Procedure often used for classification in statistics</p> Signup and view all the answers

<p>Explanatory variables = Quantifiable properties of individual observations Categorical = Blood type (e.g. 'A', 'B', 'AB', 'O') Ordinal = Size (e.g. 'large', 'medium', 'small') Real-valued = Measurement of blood pressure</p> Signup and view all the answers