115 Gaussian Processes for Machine Learning,

Published

July 2, 2025

Keywords

Gaussian Processes, GPs, Machine Learning, Regression, Classification, Spatial Data

Plan

Who are the authors and what is the book about?
what makes me excided when browsing the book?
what are the datasets (AKA as the problems) that are covered in the book?
Grabbing the algoritms and add any missing math excludded from them.
Add brief Explaination for the algorithms and the math.
Add the code for running the algorithms in R or Python.
consider add per chapter summaries and deep dives!
convert this to an intro when done

---
title: Gaussian Processes for Machine Learning,
subtitle: "Summary & Review"
date: 2025-07-02
description: "Summary and Review of Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams"
categories:
  - Bayesian Statistics
  - Gaussian Processes
keywords:
  - Gaussian Processes
  - GPs
  - Machine Learning
  - Regression
  - Classification
  - Spatial Data

---

::: {.callout-note}
## Plan


1. Who are the authors and what is the book about?
1. what makes me excided when browsing the book?
1. what are the datasets (AKA as the problems) that are covered in the book?
1. Grabbing the algoritms and add any missing math excludded from them.
1. Add brief Explaination for the algorithms and the math.
1. Add the code for running the algorithms in R or Python.
1. consider add per chapter summaries and deep dives!
1. convert this to an intro when done
:::