Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood

01/12/2025 8 min
Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood

Listen "Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood"

Episode Synopsis



This story was originally published on HackerNoon at: https://hackernoon.com/crossentropy-logloss-and-perplexity-different-facets-of-likelihood.
We explore the link between three popular loss functions: crossentropy, logloss and perplexity
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #machine-learning, #statistics, #crossentropy-explained, #what-is-logloss, #facets-of-likelihood, #software-libraries, #hackernoon-top-story, and more.


This story was written by: @artemborin. Learn more about this writer by checking @artemborin's about page,
and for more stories, please visit hackernoon.com.



Machine learning is centered on creating models that predict accurately. Evaluation metrics offer a way to gauge a model's efficiency, which allows us to refine or even switch algorithms based on performance outcomes.


More episodes of the podcast Machine Learning Tech Brief By HackerNoon