Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak

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商品描述

Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies

Key Features

  • Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture
  • Explore ML Server using SQL Server and HDInsight capabilities
  • Implement various tools in Azure to build and deploy machine learning models

Book Description

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way.

The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft's Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you'll integrate patterns with other non-AI services in Azure.

By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.

What you will learn

  • Discover the benefits of leveraging the cloud for ML and AI
  • Use Cognitive Services APIs to build intelligent bots
  • Build a model using canned algorithms from Microsoft and deploy it as a web service
  • Deploy virtual machines in AI development scenarios
  • Apply R, Python, SQL Server, and Spark in Azure
  • Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow
  • Implement model retraining in IoT, Streaming, and Blockchain solutions
  • Explore best practices for integrating ML and AI functions with ADLA and logic apps

Who this book is for

If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You'll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

Table of Contents

  1. AI Cloud Foundations
  2. Data Science Process
  3. Cognitive Services
  4. Bot Framework
  5. Azure Machine Learning Studio
  6. Scalable Computing for Data Science
  7. Machine Learning Server
  8. HDInsight
  9. Machine Learning with Spark
  10. Building Deep Learning Solutions
  11. Integration with Other Azure Services
  12. An End to End Example

商品描述(中文翻譯)

利用 Azure 雲端技術實現機器學習、認知服務和人工智慧解決方案

主要特點



  • 學習 Azure ML 和 Cortana Intelligence Suite 架構中的高級概念

  • 探索使用 SQL Server 和 HDInsight 功能的 ML Server

  • 在 Azure 中實現各種工具以構建和部署機器學習模型

書籍描述


以前在雲端中實現機器學習(ML)和人工智慧(AI)是不可能的,因為缺乏處理能力和存儲空間。然而,Azure 提供了易於在雲端中實現的 ML 和 AI 服務。《Hands-On Machine Learning with Azure》教你如何以成本效益的方式在雲端中執行高級 ML 項目。

本書首先介紹了在雲端中使用 ML 和 AI 的好處。然後,你將探索 Microsoft 的團隊數據科學流程,以建立可重複成功的 AI 開發和實施流程。你還將了解 Azure 中可用的 AI 技術和認知服務 API,以將它們集成到機器人應用程序中。本書讓你探索 Azure Machine Learning Studio 中的預建模板,並使用預設算法構建模型,並將其部署為 Web 服務。然後,本書將帶你進入針對 AI 開發場景的預配置虛擬機系列。你將瞭解 ML Server 及其在 SQL 和 HDInsight 中的功能。在最後幾章中,你將把模式與 Azure 中的其他非 AI 服務集成。

通過閱讀本書,你將完全掌握在模型中實現智能認知操作的能力。

你將學到什麼



  • 發現利用雲端進行 ML 和 AI 的好處

  • 使用認知服務 API 構建智能機器人

  • 使用 Microsoft 的預設算法構建模型並將其部署為 Web 服務

  • 在 AI 開發場景中部署虛擬機

  • 在 Azure 中應用 R、Python、SQL Server 和 Spark

  • 使用 CNTK、MMLSpark 和 TensorFlow 構建和部署深度學習解決方案

  • 在物聯網、流式處理和區塊鏈解決方案中實現模型重新訓練

  • 探索將 ML 和 AI 功能與 ADLA 和邏輯應用程序集成的最佳實踐

本書適合對象


如果你是一位熟悉 Azure ML 和認知服務的數據科學家或開發人員,並希望在雲端中創建智能模型並理解數據,那麼本書適合你。如果你想將強大的機器學習服務引入你的雲端應用程序中,本書也對你有用。對於具有使用 SQL、Python 和 R 等語言進行數據操作和處理的經驗,將有助於理解本書中涵蓋的概念。

目錄



  1. AI 雲端基礎

  2. 數據科學流程

  3. 認知服務

  4. 機器人框架

  5. Azure Machine Learning Studio

  6. 可擴展計算用於數據科學

  7. 機器學習服務器

  8. HDInsight

  9. 使用 Spark 的機器學習

  10. 構建深度學習解決方案

  11. 與其他 Azure 服務集成

  12. 端到端示例