Unite.AI

JUNE 24, 2024

Machine learning frameworks like scikit-learn are quite popular for training machine learning models while TensorFlow and PyTorch are popular for training deep learning models that comprise different neural networks. There is only one way to identify the data drift, by continuously monitoring your models in production.

Data Drift 120

Data Drift Machine Learning Data Scientist ML 120

The MLOps Blog

JUNE 27, 2023

Amazon SageMaker Ground Truth SageMaker Ground Truth is a fully managed data labeling service designed to help you efficiently label and annotate your training data with high-quality annotations. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

ODSC - Open Data Science

OCTOBER 11, 2023

Machine learning models are only as good as the data they are trained on. Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer. Data issues like label errors, outliers, duplicates, data drift, and low-quality examples significantly hamper model performance.

Auto-classification 52

Auto-classification Auto-complete Data Drift Machine Learning 52