Introduction to the Microsoft Cortana Intelligence Suite for Advanced Analytics /

The Cortana Intelligence Suite is an advanced analytics platform designed for BI developers, data scientists, features engineers, and business analysts. This course provides a description of the technologies that make up the Cortana Intelligence Suite and an explanation of the Azure Team Data Scien...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Testa-O'Neill, Chris
Format:
Elektronisch
Sprache:
Englisch
Veröffentlicht:
O'Reilly Media, Inc., 2017.
Ausgabe:
1st edition
Zusammenfassung:
The Cortana Intelligence Suite is an advanced analytics platform designed for BI developers, data scientists, features engineers, and business analysts. This course provides a description of the technologies that make up the Cortana Intelligence Suite and an explanation of the Azure Team Data Science Process, a systematic approach to building intelligent applications that takes into account business understanding, data acquisition, modeling, and deployment. In addition, the course reviews four critical types of advanced analytics and demonstrates how each can be applied to business today. Understand the Cortana Intelligence Suite technologies, their purposes, and relations to each other Learn how to use the Azure Team Data Science Process to plan intelligent applications projects Discover four key types of advanced analytics to consider when planning data projects Chris Testa-O'Neill works with the Cortana Intelligence Suite (CIS) and Microsoft R Server product lines as part of Microsoft's Analytics and Data Science team. A long term contributor to SQL Bits, Chris was a Microsoft Most Valuable Professional for six years and has authored a wide range of Microsoft Learning Experience courses since 2007.
Umfang:
1 online resource (1 video file, approximately 46 min.)
video file
Anmerkungen:
Title from title screen (viewed August 21, 2017).
Schlagworte:
Data mining.
Application software > Development.
Data warehousing.
Business intelligence.
Electronic videos.
Bezugswerke: