Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

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 in 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.- Chapter 10: Azure Databricks.- Part IV: Machine Learning in Azure.- 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.