Machine Learning with Microsoft Technologies.
Picture Of The Book:
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| Machine Learning with Microsoft Technologies |
About The 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.
Information About The Book:
Title: Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project.
Language: English.
Size: 29.4 Mb.
Pages: 363.
Format: Pdf.
Year: 2019.
Edition: 1.
Author: Leila Etaati.
Contents Of The Book:
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.
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