Data Science with SQL Server Quick Start Guide
ISBN-13:
9781789537123
ISBN-10:
1789537126
Author:
Dejan Sarka
Publication date:
2018
Publisher:
Packt Publishing
Format:
Paperback
206 pages
Category:
Data Modeling & Design
,
Databases & Big Data
,
Data Mining
,
Data Processing
FREE US shipping
Book details
ISBN-13:
9781789537123
ISBN-10:
1789537126
Author:
Dejan Sarka
Publication date:
2018
Publisher:
Packt Publishing
Format:
Paperback
206 pages
Category:
Data Modeling & Design
,
Databases & Big Data
,
Data Mining
,
Data Processing
Summary
Data Science with SQL Server Quick Start Guide (ISBN-13: 9781789537123 and ISBN-10: 1789537126), written by authors
Dejan Sarka, was published by Packt Publishing in 2018.
With an overall rating of 3.5 stars, it's a notable title among other
Data Modeling & Design
(Databases & Big Data, Data Mining, Data Processing) books. You can easily purchase or rent Data Science with SQL Server Quick Start Guide (Paperback) from BooksRun,
along with many other new and used
Data Modeling & Design
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.19.
Description
Get unique insights from your data by combining the power of SQL Server, R and PythonKey FeaturesUse the features of SQL Server 2017 to implement the data science project life cycleLeverage the power of R and Python to design and develop efficient data modelsfind unique insights from your data with powerful techniques for data preprocessing and analysisBook DescriptionSQL 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.What you will learnUse the popular programming languages,T-SQL, R, and Python, for data scienceUnderstand your data with queries and introductory statisticsCreate and enhance the datasets for MLVisualize and analyze data using basic and advanced graphsExplore ML using unsupervised and supervised modelsDeploy models in SQL Server and perform predictionsWho this book is forSQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.Table of ContentsWriting Queries with T-SQLIntroducing RGetting Familiar with PythonData OverviewData PreparationIntermediate Statistics and GraphsUnsupervised Machine LearningSupervised Machine Learning
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}