After learning the basics of T-SQL and R, you also got an overview of the Python language. When doing the data science tasks, Python resembles R quite a lot. You use the same data frame object to store your data to analyze as in R. You also saw how the integration between SQL Server and ML services works. Now the real work can begin. In the next two chapters, you will see how to get an understanding of your data, and how to prepare it for more advanced analyses.
Data Science with SQL Server Quick Start Guide
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Data Science with SQL Server Quick Start Guide
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Overview of this book
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.
This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment.
You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm.
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Current Title:
Data Science with SQL Server Quick Start Guide
Table of Contents (15 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Free Chapter
Writing Queries with T-SQL
Introducing R
Getting Familiar with Python
Data Overview
Data Preparation
Intermediate Statistics and Graphs
Unsupervised Machine Learning
Supervised Machine Learning
Other Books You May Enjoy
Index
Customer Reviews