DataRobot Blog

JULY 5, 2022

At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. This produced a RMSLE Cross Validation of 0.3530.

Cross Validation 103

Cross Validation Machine Learning Machine Learning AI 103

DrivenData Labs

MAY 24, 2023

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. What are some other things you tried that didn't necessarily make it into the final workflow? Making a global model, trained on all airports, instead of locally trained models.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Key concepts include: Cross-validation Cross-validation splits the data into multiple subsets and trains the model on different combinations, ensuring that the evaluation is robust and the model doesn’t overfit to a specific dataset.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

FEBRUARY 12, 2024

What is cross-validation, and why is it used in Machine Learning? Cross-validation is a technique used to assess the performance and generalization ability of Machine Learning models. What is the Central Limit Theorem, and why is it important in statistics?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

The MLOps Blog

DECEMBER 7, 2022

The inherent cost of cloud computing : To illustrate the point, Argentina’s minimum wage is currently around 200 dollars per month. This is a relatively straightforward process that handles training with cross-validation, optimization, and, later on, full dataset training.

ML 52

ML ML AWS ETL 52