Danielle Dean is a senior data scientist lead at Microsoft in the Algorithms and Data Science group. She leads a team of data scientists and engineers on end- to-end analytics projects that use Microsoft's Cortana Intelligence Suite for applications ranging from automating the ingestion of data to analyzing and implementing algorithms, creating web services of these implementations, and integrating them into customer solutions or building end-user dashboards and visualizations.
Books Authored by Danielle Dean
Data Science with Microsoft SQL Server 2016
Post date: 25 Oct 2016This book covers the combined environments of RDBMS and the R language inside Microsoft SQL Server 2016. Readers can learn to use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions.
Publisher:
Microsoft Press Books
Publication date: 01 Oct 2016
License: Open Access
Document Type: Book
Publication date: 01 Oct 2016
License: Open Access
Document Type: Book
Data Science with Microsoft SQL Server 2016
Post date: 25 Oct 2016This book covers the combined environments of RDBMS and the R language inside Microsoft SQL Server 2016. Readers can learn to use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions.
Publisher:
Microsoft Press Books
Publication date: 01 Oct 2016
License: Open Access Document Type: Book
Publication date: 01 Oct 2016
License: Open Access Document Type: Book
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