all AI news
Why You Should Never Use Cross-Validation
March 27, 2024, 4:39 a.m. | Samuele Mazzanti
Towards Data Science - Medium towardsdatascience.com
In real-world applications, using cross-validation is always a bad choice. Here is why.
Continue reading on Towards Data Science »
applications crossvalidation data data science machine learning reading science statistics tips-and-tricks validation world
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne