- SQL Server 2017 Machine Learning Services with R
- Toma? Ka?trun Julie Koesmarno
- 89字
- 2021-06-24 19:03:45
Summary
This chapter has given an overview on the ecosystem of the new R Service and the family of R Engine products offered by Microsoft.
When thinking about R and SQL Server, one must keep in mind what the needs in the enterprise will be and how the infrastructure will be prepared in order to leverage the maximum performance from powerful RevoScaleR packages.
In the next chapter, we will see how to use these ScaleR computational functions to deliver better performance results, and how to set up your ecosystem.
推薦閱讀
- Word 2003、Excel 2003、PowerPoint 2003上機指導(dǎo)與練習(xí)
- 現(xiàn)代測控系統(tǒng)典型應(yīng)用實例
- Introduction to DevOps with Kubernetes
- SCRATCH與機器人
- 數(shù)據(jù)庫原理與應(yīng)用技術(shù)
- 精通特征工程
- DevOps:Continuous Delivery,Integration,and Deployment with DevOps
- 網(wǎng)絡(luò)安全與防護
- 云原生架構(gòu)進階實戰(zhàn)
- Mastering ServiceNow Scripting
- 網(wǎng)站前臺設(shè)計綜合實訓(xùn)
- 內(nèi)模控制及其應(yīng)用
- Azure PowerShell Quick Start Guide
- 從零開始學(xué)C++
- 深度學(xué)習(xí)與目標(biāo)檢測