Skip to content

Andrew Fairless, Ph.D.

Data, Science, and Tinkering

Overview
Experience and Education
Publications
SHAP Tutorial
Understanding the Basics of Bayesian Linear Regression
Classifying Medicine
The Peanuts Project

Search for:

Search for:

What I Read: cross-validation

Home/What I Learn/What I Read: cross-validation

By BylineAndrew Fairless on August 16, 2022July 18, 2022

https://robjhyndman.com/hyndsight/crossvalidation/

Why every statistician should know about cross-validation
Hyndsight
Rob J Hyndman
4 October 2010

“Why every statistician should know about cross-validation”

Cat Links What I Learn Tag Links bootstrap cross-validation information statistics time series

Post navigation

What I Read: Hidden Technical DebtsPrev post

What I Read: Pandas Anti-PatternsNext post

Categories

Bayesian statistics Machine Learning Statistics What I Learn What I Make

Tags

artificial intelligence attention Bayesian chatbot cognition computer vision database data engineering data science deployment DevOps economics efficiency embedding generalization generative GPU graph healthcare image interpretability large language model latency linear algebra machine learning medicine MLOps monitoring natural language processing neural network neuroscience optimization pipeline probability Python recurrent reinforcement learning reproducibility scalability software engineering SQL statistics training transformer unit test

Copyright © 2024 Andrew Fairless, Ph.D.. All Rights Reserved. | Simple Persona by Catch Themes

Scroll Up