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Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence.

Author: Thomas K Abraham; Parashar Shah; Jen Stirrup; Lauri Lehman; Anindita Basak
Publisher: Birmingham : Packt Publishing Ltd, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Abraham, Thomas K.
Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence.
Birmingham : Packt Publishing Ltd, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Thomas K Abraham; Parashar Shah; Jen Stirrup; Lauri Lehman; Anindita Basak
ISBN: 9781789130270 1789130271
OCLC Number: 1063966503
Notes: How can we read data into HDInsight using ML Services?
Description: 1 online resource (331 pages)
Contents: Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: AI Cloud Foundations; The importance of artificial intelligence; The emergence of the cloud; Essential cloud components for AI; The Microsoft cloud --
Azure; Choosing AI tools on Azure; Cognitive Services/bots; Azure Machine Learning Studio; ML Server; Azure ML Services; Azure Databricks; Summary; Chapter 2: Data Science Process; TDSP stages; Business understanding; Deliverable; Data acquisition and understanding; Deliverable; Modeling; Deliverable; Deployment; Deliverable. Customer acceptanceDeliverable; Tools for TDSP; IDEAR tool for R; Automated modeling and reporting (AMAR) in R; Summary; Chapter 3: Cognitive Services; Cognitive Services for Vision APIs; The Computer Vision API; Face API; Cognitive Services for Language APIs; Text Analytics; Cognitive Services for Speech APIs; Speech to Text; Cognitive Services for Knowledge APIs; QnA Maker; Cognitive Services for Search APIs; Bing Visual Search; Summary; Reference; Chapter 4: Bot Framework; What is a bot?; Bot Builder SDK; Bot Framework; QnA Maker; Bot Service; Creating a bot with Bot Service. LUIS applicationSummary; Chapter 5: Azure Machine Learning Studio; Deploying an Azure AI Gallery template; Building an experiment; Importing and preprocessing data; Choosing and configuring algorithms; Feature selection; Comparing models and parameters; Deploying a model as a web service; Creating a predictive experiment; Deploying and testing a web service; Summary; Chapter 6: Scalable Computing for Data Science; Different scalable compute options in Azure; Introduction to DSVMs; Provisioning a DSVM; DLVM; Batch AI service; Provisioning a Batch AI service; ACI; AKS; Summary. Chapter 7: Machine Learning ServerWhat is Microsoft ML Server?; How to get started with Microsoft ML Server; Configuring the DSVM; Machine learning with Python; Getting started with Python; Set up your Python environment in Visual Studio; Writing your own code with Python in Microsoft ML Server; Walk-through: reading data in and out in Microsoft ML Server; Introducing regression with Python in Microsoft ML Server; More data visualization charts in Python and the Microsoft Machine Learning service; Regression code walk-through with Python and Microsoft ML Server. Analyzing results in machine learning modelsMeasuring the fit of the model; Cross validation; Variance and bias; Summary; Chapter 8: HDInsight; R with HDInsight; Getting started with Azure HDInsight and ML services; Setup and configuration of HDInsight; Basic configuration of HDInsight; Storage options for Azure HDInsight; Connect to the HDInsight cluster using SSH; Accessing Microsoft ML Services on Azure HDInsight; HDInsight and data analytics with R; How do Azure Data Factory and HDInsight interact?; Running queries on Azure HDInsight with ML Services; RevoScaleR in Azure.

Abstract:

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end  Read more...

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