Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence
暫譯: 開始使用 Azure 認知服務：透過人工智慧進行數據驅動的決策制定

Moniz, Alicia, Gordon, Matt, Bergum, Ida

Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence
  • 出版商: Apress
  • 出版日期: 2021-08-14
  • 售價: $2,810
  • 貴賓價: 9.5 折 $2,670
  • 語言: 英文
  • 頁數: 310
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484271750
  • ISBN-13: 9781484271759
  • 相關分類: Microsoft Azure、人工智慧

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization.

The authors begin by introducing the tools and describing the steps needed to invoke libraries to analyze structured and unstructured text, speech, and pictures, and you will learn to create interactive chatbots using the Cognitive Services libraries. Each chapter contains the information you need to implement artificial intelligence (AI) via Azure Cognitive Services in your personal and professional projects.
The book also covers ethical considerations that are becoming increasingly of concern when using AI to drive decision making. You will be introduced to tools such as FairLearn and InterpretML that can help you detect bias and understand the results your models are generating.

What You Will Learn

  • Invoke the Cognitive Services APIs from a variety of languages and apps
  • Understand common design architectures for AI solutions in Azure
  • Decrease discrimination and bias when creating an AI-driven solution
  • Execute the examples within the book and learn how to extend those examples
  • Implement best practices for leveraging the Vision, Speech, and Language parts of the suite
  • Test Cognitive Services APIs via the Azure portal and using the Postman API tool
  • Execute AI from low-code and no-code platforms like Logic Apps and Microsoft's Power Platform

Who This Book Is For
Technical professionals who are interested in implementing artificial intelligence (AI) in pre-existing apps, expanding their value and skill sets, or learning more about AI for personal projects; for programmers working in languages such as C# and Python; and for those using low- and no-code platforms such as Microsoft Power Platform

商品描述(中文翻譯)

開始使用 Azure Cognitive Services 及其 API，這些 API 將機器學習作為服務提供。本書介紹了 Azure Cognitive Services 的套件，並幫助您利用專家開發的經過驗證的機器學習演算法，這些演算法通過 Cognitive Services 提供，讓您能夠輕鬆地將這些演算法整合到自己的應用程式中，而無需從頭開發演算法。本書還展示了如何使用 Cognitive Services 提供的演算法來加速您組織內的數據分析和開發。

作者首先介紹了工具，並描述了調用庫以分析結構化和非結構化文本、語音和圖片所需的步驟，您將學會使用 Cognitive Services 庫創建互動式聊天機器人。每一章都包含了您在個人和專業項目中通過 Azure Cognitive Services 實現人工智慧 (AI) 所需的信息。

本書還涵蓋了在使用 AI 驅動決策時日益受到關注的倫理考量。您將接觸到如 FairLearn 和 InterpretML 等工具，這些工具可以幫助您檢測偏見並理解您的模型所產生的結果。

您將學到什麼


  • 從各種語言和應用程式調用 Cognitive Services API

  • 理解 Azure 中 AI 解決方案的常見設計架構

  • 在創建 AI 驅動解決方案時減少歧視和偏見

  • 執行書中的範例並學習如何擴展這些範例

  • 實施最佳實踐以利用該套件的視覺、語音和語言部分

  • 通過 Azure 入口網站和使用 Postman API 工具測試 Cognitive Services API

  • 從低代碼和無代碼平台（如 Logic Apps 和 Microsoft Power Platform）執行 AI

本書適合誰
對於有興趣在現有應用程式中實施人工智慧 (AI)、擴展其價值和技能組合，或想了解更多有關 AI 的個人項目的技術專業人士；對於使用 C# 和 Python 等語言的程式設計師；以及對於使用 Microsoft Power Platform 等低代碼和無代碼平台的人士。

作者簡介

Alicia Moniz is a Microsoft AI MVP, #KafkaOnAzure Evangelista, and active supporter of women in technology. She authors the blog HybridDataLakes.com, focused on cloud data learning resources, and produces content for the YouTube channel, #KafkaOnAzure. She is also on the Leadership Board for the Global AI community and is an organizer for Global AI Bootcamp - Houston Edition, a Microsoft AI-sponsored event. Alicia is active in the Microsoft User Group community and enjoys speaking on AI, SQLServer, #KafkaOnAzure, and personal branding for women in technology topics.

Matt Gordon is a Microsoft Data Platform MVP and has worked with SQL Server since 2000. He is the leader of the Lexington, KY Data Technology Group and a frequent domestic and international community speaker. He is an IDERA ACE alumnus and 2021 Friend of Redgate. His original data professional role was in database development, which quickly evolved into query tuning work that further evolved into being a DBA in the healthcare realm. He has supported several critical systems utilizing SQL Server and managed dozens of 24/7/365 SQL Server implementations. Following several years as a consultant, Matt is now the Director of Data and Infrastructure for rev.io, where he is implementing data governance, DevOps, and performance improvements enterprise-wide.

Ida Bergum is a Microsoft Data Platform MVP, and is currently working for Avanade Norway as a Solution Architect for the Data & AI Market Unit as well as leading Avanade's Community of Practice for Power BI globally. Ida has been advising on, architecting, and implementing modern data platform and BI solutions on Azure since she started at Avanade in 2015. She aims at advising and delivering great analytics experiences and data smart solutions for clients while sharing those experiences with the community. Her spare time is spent contributing to Data Platform User Group Norway among others, posting to her Twitter account, and cross-country skiing whenever she gets the opportunity.

Mia Chang works as a Solutions Architect specializing in machine learning for a tech company in Berlin, Germany. She cooperates with the customers on their development projects and delivers architecture leveraging services on the cloud. Her machine learning journey started with her studies in the field of applied mathematics, and computer science focused on algorithm research of strategic board games. During her seven-year professional journey, she has worked as a data scientist, and she has been proficient in the life cycle of ML projects. Apart from the work, Mia is passionate about open source projects and has been awarded the Microsoft AI MVP from 2017 to 2020. Her first book Microsoft AI MVP Book was published in 2019. She also dedicates her time to organizing communities and speaks at meetups and conferences. In addition to tech-related hobbies, she loves gardening, hiking, and traveling.

Ginger Grant is a consultant who shares what she has learned while working with data technology clients by providing training to people around the world. As a Microsoft MVP in Data Platform and a Microsoft Certified Trainer, she is proficient in creating solutions using Power BI and the Microsoft Azure Data Stack components, including Databricks, Data Factory, Data Lakes, Data Analytics, Synapse, and Machine Learning. Ginger co-authored Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning and has a number of current exam certifications. When not working, she maintains her blog and spends time on twitter.

作者簡介(中文翻譯)

Alicia Moniz 是一位 Microsoft AI MVP、#KafkaOnAzure 的推廣者，並且積極支持女性在科技領域的發展。她撰寫了專注於雲端數據學習資源的部落格 HybridDataLakes.com，並為 YouTube 頻道 #KafkaOnAzure 製作內容。她也是全球 AI 社群的領導委員會成員，並且是 Microsoft AI 贊助的活動 Global AI Bootcamp - Houston Edition 的組織者。Alicia 活躍於 Microsoft 使用者社群，喜歡就 AI、SQL Server、#KafkaOnAzure 以及女性在科技領域的個人品牌等主題進行演講。

Matt Gordon 是一位 Microsoft Data Platform MVP，自 2000 年以來一直在 SQL Server 領域工作。他是肯塔基州列克星敦數據技術小組的領導者，並且經常在國內外社群中演講。他是 IDERA ACE 的校友，也是 2021 年 Redgate 的朋友。他最初的數據專業角色是數據庫開發，隨後迅速演變為查詢調優工作，並進一步發展為醫療領域的 DBA。他支持多個關鍵系統，利用 SQL Server 管理數十個 24/7/365 的 SQL Server 實施。在擔任幾年的顧問後，Matt 現在是 rev.io 的數據與基礎設施總監，負責在整個企業中實施數據治理、DevOps 和性能改進。

Ida Bergum 是一位 Microsoft Data Platform MVP，目前在 Avanade Norway 擔任數據與 AI 市場單位的解決方案架構師，並且負責領導 Avanade 全球的 Power BI 實踐社群。自 2015 年加入 Avanade 以來，Ida 一直在 Azure 上提供現代數據平台和 BI 解決方案的建議、架構設計和實施。她的目標是為客戶提供卓越的分析體驗和數據智能解決方案，同時與社群分享這些經驗。她的空閒時間會參與挪威數據平台使用者小組等活動，並在 Twitter 上發文，還會在有機會時進行越野滑雪。

Mia Chang 在德國柏林的一家科技公司擔任專注於機器學習的解決方案架構師。她與客戶合作開發項目，並提供利用雲端服務的架構設計。她的機器學習之旅始於應用數學的學習，並專注於策略棋盤遊戲的演算法研究。在七年的職業生涯中，她曾擔任數據科學家，並熟悉機器學習項目的整個生命週期。除了工作外，Mia 對開源項目充滿熱情，並於 2017 年至 2020 年獲得 Microsoft AI MVP 奖。她的第一本書 Microsoft AI MVP Book 於 2019 年出版。她還致力於組織社群，並在聚會和會議上發表演講。除了與科技相關的興趣外，她喜歡園藝、健行和旅行。

Ginger Grant 是一位顧問，通過為全球人員提供培訓，分享她在數據技術客戶工作中所學到的知識。作為 Microsoft Data Platform 的 MVP 和 Microsoft 認證培訓師，她擅長使用 Power BI 和 Microsoft Azure 數據堆疊組件（包括 Databricks、Data Factory、Data Lakes、Data Analytics、Synapse 和 Machine Learning）創建解決方案。Ginger 共同撰寫了 Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning，並擁有多項當前的考試認證。當不在工作時，她會維護自己的部落格並在 Twitter 上花時間。

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