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Beginning Azure Cognitive Services = Data-Driven Decision Making Through Artificial Intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Beginning Azure Cognitive Services/ by Alicia Moniz, Matt Gordon, Ida Bergum, Mia Chang, Ginger Grant.
其他題名:	Data-Driven Decision Making Through Artificial Intelligence /
作者:	Moniz, Alicia.
其他作者:	Grant, Ginger.
面頁冊數:	XXII, 306 p. 226 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-1-4842-7176-6
ISBN:	9781484271766

Beginning Azure Cognitive Services = Data-Driven Decision Making Through Artificial Intelligence /
Moniz, Alicia.

Beginning Azure Cognitive ServicesData-Driven Decision Making Through Artificial Intelligence /[electronic resource] :by Alicia Moniz, Matt Gordon, Ida Bergum, Mia Chang, Ginger Grant. - 1st ed. 2021. - XXII, 306 p. 226 illus.online resource.

1. Introducing Cognitive Services -- 2. Prerequisites and Tools -- 3. Vision -- 4. Language in Cognitive Services -- 5. Speech Services -- 6. Power Platform & Cognitive Services -- 7. Chatbots,- 8. Ethics in AI.

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. You will learn to: 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.

ISBN: 9781484271766

Standard No.: 10.1007/978-1-4842-7176-6doiSubjects--Topical Terms:

1017136
Big Data.

LC Class. No.: QA76.76.M52

Dewey Class. No.: 004.165

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