Concise introduction to machine learning
- Boca Raton : CRC Press, 2020
- xix, 314 p. ; ill., 23 cm
9780815384106
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