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. The process is repeated multiple times, with each subset serving as both training and testing data.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data. A solid foundation in mathematics enhances model optimisation and performance.

Machine Learning 52

Machine Learning Machine Learning ML ML 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. With all of that, the model gets retrained with all the data and stored in the Sagemaker Model Registry. After that, a chosen model gets deployed and used in the model pipeline.

ML 52

ML ML AWS ETL 52