Data Science with Microsoft SQL Server 2016
The intended audience for this book is technical - specifically, the data scientist - and is assumed to be familiar with the R language and environment. We do, however, introduce data science and the R language briefly, with many resources for the reader to go learn those disciplines, as well, which puts this book within the reach of database administrators, developers, and other data professionals. Although we do not cover the totality of SQL Server in this book, references are provided and some concepts are explained in case you are not familiar with SQL Server, as is often the case with data scientists.
Table of contents
- Using this book
- Microsoft SQL Server R Services
- An end-to-end data science process example
- Building a customer churn solution
- Predictive maintenance and the Internet of Things
- Forecasting
| Pages : | 90 |
| Size : | 7.6 MB |
| File type : | |
| Downloads: | 127 |
| Created: | 2022-02-02 |
| License: | Microsoft Open |
| Author(s): | Buck Woody, Danielle Dean, Debraj GuhaThakurta, Gagan Bansal, Matt Conners, Wee-Hyong Tok |
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