Data-centric AI is a new and exciting research topic in the AI community, but many organizations already build and maintain various "data-centric" applications whose goal is to produce high quality data.
Machine learning (ML) is now commonplace, powering data-driven applications in various organizations.
7 code implementations • 28 Sep 2020 • Konstantinos, Katsiapis, Abhijit Karmarkar, Ahmet Altay, Aleksandr Zaks, Neoklis Polyzotis, Anusha Ramesh, Ben Mathes, Gautam Vasudevan, Irene Giannoumis, Jarek Wilkiewicz, Jiri Simsa, Justin Hong, Mitch Trott, Noé Lutz, Pavel A. Dournov, Robert Crowe, Sarah Sirajuddin, Tris Brian Warkentin, Zhitao Li
In closing, we will also share a glimpse into the future of TFX.
Broad adoption of machine learning techniques has increased privacy concerns for models trained on sensitive data such as medical records.
As machine learning systems become democratized, it becomes increasingly important to help users easily debug their models.
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not.