Classification algorithms

Multi-label classification

In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of several (more than two) classes. In the multi-label problem the labels are nonexclusive and there is no constraint on how many of the classes the instance can be assigned to. Formally, multi-label classification is the problem of finding a model that maps inputs x to binary vectors y; that is, it assigns a value of 0 or 1 for each element (label) in y. (Wikipedia).

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Introduction to the multivariate Gaussian (or multivariate Normal) distribution.

From playlist Probability Theory

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Multimeter Review / DMM Review / buyers guide / tutorial

A list of my multimeters can be purchased here: http://astore.amazon.com/m0711-20?_encoding=UTF8&node=5 In this video I do a review of several digital multimeters. I compare features and functionality. I explain safety features, number of digits, display count, accuracy and resolution. Th

From playlist Multimeter reviews, buyers guide and comparisons.

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From playlist Electronic Measurement Equipment

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From playlist Multivariable Calculus

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From playlist Worldwide Multivariable Calculus

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From playlist Data Science Concepts

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From playlist Multivariable calculus

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From playlist Multimeter reviews, buyers guide and comparisons.

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From playlist Healthcare NLP Summit 2022

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From playlist Healthcare NLP Summit 2022

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From playlist SBERT: Python Code Sentence Transformers: a Bi-Encoder /Transformer model #sbert

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From playlist Calculus III: Multivariable Calculus (Vectors, Curves, Partial Derivatives, Multiple Integrals, Optimization, etc) **Full Course **

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Related pages

Loss function | Hamming distance | Stratified sampling | Online machine learning | Bayesian network | Exclusive or | Concept drift | Statistical classification | Harmonic mean | Jaccard index | Classifier chains | Multiclass classification | Committee machine | Kernel methods for vector output | Ensemble learning | Binary classification | Scikit-learn | Life-time of correlation | Weka (machine learning)