Cover Image
Read Now

Building enterprise data products

"Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea t...

Full description

Bibliographic Details
Main Author: Mason, Hilary
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly 2019
Subjects:
Logiciels D'application / Développement
Application Software / Development / Fast / (ocolc)fst00811707
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Intelligence Artificielle
Apprentissage Automatique
Artificial Intelligence / Fast / (ocolc)fst00817247
Artificial Intelligence / Aat
Machine Learning / Fast / (ocolc)fst01004795
Application Software / Development / Http://id.loc.gov/authorities/subjects/sh95009362
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process."--Resource description page
Item Description:Title from title screen (viewed November 14, 2019). - Recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York
Physical Description:1 streaming video file (43 min., 56 sec.)

Similar Items