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

Sinopsis

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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