Description
Apress Machine Learning With Microsoft Technologies Selecting The Right Architecture And Tools For Your Project by Etaati
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.