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
About the Author: Leila Etaati, PhD, is a Microsoft artificial intelligence and data platform MVP, speaker, trainer, and founding consultant with RADACAD where she trains and strategically advises some of today's largest global enterprises. Renowned in the field of AI and BI, she presents at many Microsoft events, including Ignite, Microsoft Data Insights Summit, PASS, and more. Leila is passionate about teaching others and resolving complex business solutions through the vast capabilities of machine learning and BI. She blogs and is author of Power BI and R through RADACAD.
