Gaussian Processes and Kernel Methods
Gaussian processes are non-parametric distributions useful for doing Bayesian inference and learning on unknown functions. They can be used for non-linear regression, time-series modelling, classification, and many other problems.
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vector space (also called a linear space) is a collection of objects called
vectors, which may be added together and multiplied ("scaled") by numbers, called scalars.Scalars are often taken to be real numbers, but there are also vector spaces with scalar multiplication by complex numbers, rational numbers, or generally any field.The operations of vector addition and scalar multiplication ...
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Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. A random variable with a
Gaussian distribution is said to be normally ...
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