Description

Book Synopsis

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.

The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today''s game changer and should be a key building block in every company''s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set.

Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine lear

Table of Contents

Part I: Getting Started

Chapter 1: Introduction to Machine Learning

Chapter 2: Introduction to R

Chapter 3: Introduction to Python

Chapter 4: R Visualization in Power BI

Part II: Machine Learning with R and Power BI

Chapter 5: Business Understanding

Chapter 6: Data Wrangling for Predictive Analysis

Chapter 7: Predictive Analysis in Power Query with R

Chapter 8: Descriptive Analysis in Power Query with R

Part III: Machine Learning SQL Server

Chapter 9: Using R with SQL Server 2016 and 2017

Part IV: Machine Learning in Azure

Chapter 10: Azure DataBricks

Chapter 11: R in Azure Data Lake

Chapter 12: Azure Machine Learning Studio

Chapter 13: Machine Learning in Azure Stream Analytics

Chapter 14: Azure Machine Learning (ML) Workbench

Chapter 15: Machine Learning on HDInsight

Chapter 16: Data Science Virtual Machine and AI Framework

Chapter 17: Deep Learning Tools with Cognitive Toolkit (CNTK)

Part V: Data Science Virtual Machine

Chapter 18: Cognitive Service Toolkit

Chapter 19: Bot Framework

Chapter 20: Overview on Microsoft Machine Learning Tools



Machine Learning with Microsoft Technologies

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    £41.24

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    RRP £54.99 – you save £13.75 (25%)

    Order before 4pm today for delivery by Wed 29 Jul 2026.

    A Paperback / softback by Leila Etaati

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      Publisher: APress
      Publication Date: Publication Date: 13/06/2019
      ISBN13: 9781484236574, 978-1484236574
      ISBN10: 1484236572

      Description

      Book Synopsis

      Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.

      The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today''s game changer and should be a key building block in every company''s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set.

      Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine lear

      Table of Contents

      Part I: Getting Started

      Chapter 1: Introduction to Machine Learning

      Chapter 2: Introduction to R

      Chapter 3: Introduction to Python

      Chapter 4: R Visualization in Power BI

      Part II: Machine Learning with R and Power BI

      Chapter 5: Business Understanding

      Chapter 6: Data Wrangling for Predictive Analysis

      Chapter 7: Predictive Analysis in Power Query with R

      Chapter 8: Descriptive Analysis in Power Query with R

      Part III: Machine Learning SQL Server

      Chapter 9: Using R with SQL Server 2016 and 2017

      Part IV: Machine Learning in Azure

      Chapter 10: Azure DataBricks

      Chapter 11: R in Azure Data Lake

      Chapter 12: Azure Machine Learning Studio

      Chapter 13: Machine Learning in Azure Stream Analytics

      Chapter 14: Azure Machine Learning (ML) Workbench

      Chapter 15: Machine Learning on HDInsight

      Chapter 16: Data Science Virtual Machine and AI Framework

      Chapter 17: Deep Learning Tools with Cognitive Toolkit (CNTK)

      Part V: Data Science Virtual Machine

      Chapter 18: Cognitive Service Toolkit

      Chapter 19: Bot Framework

      Chapter 20: Overview on Microsoft Machine Learning Tools



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