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Sinopsis
Get unique insights from your data by combining the power of SQL Server, R and Python
Key Features
- Use the features of SQL Server 2017 to implement the data science project life cycle
- Leverage the power of R and Python to design and develop efficient data models
- find unique insights from your data with powerful techniques for data preprocessing and analysis
Book Description
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.
What you will learn
- Use the popular programming languages,T-SQL, R, and Python, for data science
- Understand your data with queries and introductory statistics
- Create and enhance the datasets for ML
- Visualize and analyze data using basic and advanced graphs
- Explore ML using unsupervised and supervised models
- Deploy models in SQL Server and perform predictions
Who this book is for
SQL 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 Contents
- 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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. Besides projects, he spends about half his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. He is the main author or co author of many books about databases and SQL Server. The last three books before this one were published by Packt, and their titles were SQL Server 2016 Developer's Guide, SQL Server 2017 Integration Services Cookbook, and SQL Server 2016 Developer's Guide. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
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Data Science with SQL Server Quick Start Guide Integrate SQL Server with data science
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Data Science with SQL Server Quick Start Guide
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Data Science with SQL Server Quick Start Guide
Publicado por
Packt Publishing Limited, GB, 2018
ISBN 10: 1789537126
ISBN 13: 9781789537123
Nuevo
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Librería: Rarewaves.com UK, London, Reino Unido
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Paperback. Condición: New. 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. Nº de ref. del artículo: LU-9781789537123
Cantidad disponible: Más de 20 disponibles
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Data Science with SQL Server Quick Start Guide (Paperback or Softback)
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Packt Publishing 8/31/2018, 2018
ISBN 10: 1789537126
ISBN 13: 9781789537123
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Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
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Packt Publishing Limited, 2018
ISBN 10: 1789537126
ISBN 13: 9781789537123
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Data Science with SQL Server Quick Start Guide
Publicado por
Packt Publishing Limited, GB, 2018
ISBN 10: 1789537126
ISBN 13: 9781789537123
Nuevo
Paperback
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. 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. Nº de ref. del artículo: LU-9781789537123
Cantidad disponible: Más de 20 disponibles
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Data Science with SQL Server Quick Start Guide
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Data Science With Sql Server Quick Start Guide
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