**View Machine Learning Gaussian Process PNG**. For example, a 3.8 gpa student can earn an average of $60k salary with a variance (σ2) of $10k. What is a gaussian process?

See full list on jhui.github.io In gp, instead of computing σ, we compute k trying to measure the similarity between datapoint xi and xj. In gp, we use our training dataset to build a gaussian distribution to make prediction.

### Introduction to gaussian process regression.slides available at:

In probability theory and statistics, a gaussian process is a stochastic process, such that every finite collection of those random variables has a multivariate normal distribution, i.e. What is a gaussian process? Probability density function (pdf) in the following diagram, p(x=x)follows a gaussian distribution: Any set of function variables {f n}n n=1 has joint (zero mean) gaussian distribution: