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RESEARCH & RESOURCES

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TDWI Checklist Report | The Automation and Optimization of Advanced Analytics Based on Machine Learning: Asset

Machine learning is being used today to solve well-bounded tasks such as classification and clustering. Note that a machine learning algorithm learns from so-called training data during development; it also learns continuously from real-world data during deployment so the algorithm can improve its model with experience. This report will drill into the data, tool, and platform requirements for machine learning with a focus on automating and optimizing ML's development environment, production systems, voracious appetite for data, and actionable output.

File Type: .pdf File Size: 591 KB Duration: 9 pages


 

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TDWI Checklist Report | Augmented Intelligence: Six Best Practices for Moving Beyond Self-Service BI: Asset

This TDWI Checklist discusses six best practices for using augmented intelligence solutions to drive better business decisions.


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Digital Dialogue: MLOps and Optimizing ML Operations: Asset

TDWI VP and senior research director Fern Halper recently spoke to three experts in machine learning and MLOps to learn how they are approaching optimizing ML operations.


TDWI Checklist Report | Five Principles for Successful Cloud Data Governance: Asset

This Checklist examines important considerations for data governance in the cloud journey.