Data Collection, Deep Learning, Metadata and Predictive Modeling

Of Muffins and Machine Learning Models

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. Machine Learning Model Visibility .

Machine Learning

Machine Learning Modeling Metadata Recreation/Entertainment

The most valuable AI use cases for business

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit

Cost-Benefit Insurance Unstructured Data Machine Learning

Data Leaders Brief

Of Muffins and Machine Learning Models

The most valuable AI use cases for business

Webinars

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