Difference between revisions of "Algorithm Administration"
| Line 21: | Line 21: | ||
* [[Data Augmentation]] | * [[Data Augmentation]] | ||
* [[Visualization]] | * [[Visualization]] | ||
| + | |||
| + | |||
| + | * An Agile Approach to Data Mastering With Machine Learning - an agile approach, utilizing machine learning, can cut the time required for unification projects can cut down the time required by 90%, while scaling to more sources than any other approach. [http://www.tamr.com/an-agile-approach-to-data-mastering-with-machine-learning/ 10-minute video] & [http://tamr.wistia.com/medias/0qigjxbcy0 1 hour webinar] | Mark Marinelli - MDM Institute | ||
Revision as of 09:34, 16 February 2019
YouTube search... Quora search... ...Google search
- How can we improve Azure Data Catalog?
- Automate your data lineage
- Benefiting from AI: A different approach to data management is needed
- Git - GitHub and GitLab
- Global Community for Artificial Intelligence (AI) in Master Data Management (MDM) | Camelot Management Consultants
- Datasets
- Batch Norm(alization) & Standardization
- Data Preprocessing
- Feature Exploration/Learning
- Hyperparameters
- Data Augmentation
- Visualization
- An Agile Approach to Data Mastering With Machine Learning - an agile approach, utilizing machine learning, can cut the time required for unification projects can cut down the time required by 90%, while scaling to more sources than any other approach. 10-minute video & 1 hour webinar | Mark Marinelli - MDM Institute