AWS Machine Learning

FEBRUARY 2, 2023

For evaluation, we kept the metric used in the Kaggle competition, the continuous ranked probability score (CRPS) , which can be seen as an alternative to the log-likelihood that is more robust to outliers. We also used the Pearson correlation coefficient and the RMSE as general and interpretable accuracy metrics.

Calibration 74

Calibration Engineering Big data Automotive 74

NobelBiz

MARCH 26, 2024

Interactive Voice Response (IVR) At the core of intelligent contact center automation lies a well-calibrated IVR system. Brad Dashnaw is the CEO of one of the top companies in the Digital Marketing space for Higher Education and Automotive Companies with over 4,000+ succesful clients.

Best practices 52

Best practices Interactive Voice Response Customer Experience Contact Center 52

AWS Machine Learning

OCTOBER 5, 2022

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.

Calibration 92

Calibration Engineering Automotive Analytics 92

AWS Machine Learning

JULY 3, 2023

AV/ADAS teams need to label several thousand frames from scratch, and rely on techniques like label consolidation, automatic calibration, frame selection, frame sequence interpolation, and active learning to get a single labeled dataset. Ground Truth supports these features.

APIs 82

APIs Calibration Scripts Automotive 82