What is the purpose of assigning weights to feature sets in the mean shift dynamic bandwidth implementation?
Monday, 07 August 2023
by EITCA Academy
The purpose of assigning weights to feature sets in the mean shift dynamic bandwidth implementation is to account for the varying importance of different features in the clustering process. In this context, the mean shift algorithm is a popular non-parametric clustering technique that aims to discover the underlying structure in unlabeled data by iteratively shifting
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Clustering, k-means and mean shift, Mean shift dynamic bandwidth, Examination review
Tagged under:
Adaptive Bandwidth, Artificial Intelligence, Clustering, Dynamic Bandwidth, Feature Weights, Mean Shift
How can you check the training statistics of a model in BigQuery ML?
Wednesday, 02 August 2023
by EITCA Academy
To check the training statistics of a model in BigQuery ML, you can utilize the built-in functions and views provided by the platform. BigQuery ML is a powerful tool that allows users to perform machine learning tasks using standard SQL, making it accessible and user-friendly for data analysts and scientists. Once you have trained a
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, BigQuery ML - machine learning with standard SQL, Examination review
Tagged under:
Artificial Intelligence, BigQuery ML, Feature Weights, Machine Learning, Model Evaluation, Model Metadata