Theory of Gaussian Process Regression for Machine Learning
Introduction to a probabilistic modelling tool for Bayesian machine learning, with application in Python
Theory of Gaussian Process Regression for Machine Learning free download
Introduction to a probabilistic modelling tool for Bayesian machine learning, with application in Python
Probabilistic modelling, which falls under the Bayesian paradigm, is gaining popularity world-wide. Its powerful capabilities, such as giving a reliable estimation of its own uncertainty, makes Gaussian process regression a must-have skill for any data scientist. Gaussian process regression is especially powerful when applied in the fields of data science, financial analysis, engineering and geostatistics.
This course covers the fundamental mathematical concepts needed by the modern data scientist to confidently apply Gaussian process regression. The course also covers the implementation of Gaussian process regression in Python.
