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Details for: Concise introduction to machine learning
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Concise introduction to machine learning
By:
A.C. Faul
.
Publisher:
Boca Raton :
CRC Press,
2020
Description:
xix, 314 p. ; ill., 23 cm
.
ISBN:
9780815384106.
Subject(s):
Machine learning
|
Autoencoder
|
Bayesian
|
Beta distribution
|
Bias
|
Block matrix inversion
|
Cumulative distribution
|
Data samples
|
Dirichlet distribution
|
Eigenvalues
|
Hidden neurons
|
Latent variables
|
Marginal likelihood
|
Markov chain
|
Neural network
|
Neurons
|
Normal distribution
|
Density function
|
Mass function
|
Random variable
|
Valid kernel
|
Wishart distribution
|
Probability
DDC classification:
006.31
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006.31 FAU (
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