What is the meaning of the term serverless prediction at scale?
Tuesday, 16 July 2024
by upn.500
The term "serverless prediction at scale" within the context of TensorBoard and Google Cloud Machine Learning refers to the deployment of machine learning models in a way that abstracts away the need for the user to manage the underlying infrastructure. This approach leverages cloud services that automatically scale to handle varying levels of demand, thereby
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
Tagged under:
AI Platform Prediction, Artificial Intelligence, AutoML, Google Cloud, Machine Learning, Serverless, TensorBoard
What will hapen if the test sample is 90% while evaluation or predictive sample is 10%?
Thursday, 11 July 2024
by upn.500
In the realm of machine learning, particularly when utilizing frameworks such as Google Cloud Machine Learning, the division of datasets into training, validation, and testing subsets is a fundamental step. This division is critical for the development of robust and generalizable predictive models. The specific case where the test sample constitutes 90% of the data
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, The 7 steps of machine learning
Tagged under:
Artificial Intelligence, Data Splitting, Machine Learning, Model Evaluation, Overfitting, Training Data