Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project
By Leila Etaati
Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning using Microsoft technologies. You will gain valuable insight into designing the best structure to develop, share and deploy a machine learning solution. This book simplifies the process of choosing the appropriate structure and tools to do machine learning based on your infrastructure needs and requirements.
- Author
- Leila Etaati
- Language
- English
- Size
- 29.4 Mb
- Pages
- 363
- Format
- Year
- 2019
- Edition
- 1
About This Book
Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning using Microsoft technologies. You will gain valuable insight into designing the best structure to develop, share and deploy a machine learning solution. This book simplifies the process of choosing the appropriate structure and tools to do machine learning based on your infrastructure needs and requirements.
Contents
- Chapter 1: Introduction to Machine Learning
- Chapter 2: Introduction to R
- Chapter 3: Introduction to Python
- Chapter 4: R Visualization in 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
- Chapter 9: Using R with SQL Server 2016 and 2017
- 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 Frameworks
- Chapter 17: Deep Learning Tools with Cognitive Toolkit (CNTK)
- Chapter 18: Cognitive Services Toolkit
- Chapter 19: Bot Framework
- Chapter 20: Overview of Microsoft Machine Learning Tools