LEADER 03511nam 2200493 450 001 9910495216903321 005 20221012155818.0 010 $a1-4842-7176-9 024 7 $a10.1007/978-1-4842-7176-6 035 $a(CKB)4100000011999124 035 $a(DE-He213)978-1-4842-7176-6 035 $a(MiAaPQ)EBC6700099 035 $a(Au-PeEL)EBL6700099 035 $a(CaSebORM)9781484271766 035 $a(PPN)257357157 035 $a(EXLCZ)994100000011999124 100 $a20220428d2021 uy 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBeginning Azure cognitive services $edata-driven decision making through artificial intelligence /$fAlicia Moniz [et al.] 205 $a1st edition 2021. 210 1$aNew York :$cApress,$d[2021] 210 4$dİ2021 215 $a1 online resource (XXII, 306 p. 226 illus.) 311 0 $a1-4842-7175-0 320 $aIncludes index. 327 $a1. 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. 330 $aGet 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. 606 $aDecision making$xData processing 606 $aArtificial intelligence 615 0$aDecision making$xData processing. 615 0$aArtificial intelligence. 676 $a658.403 700 $aMoniz$b Alicia$0909751 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495216903321 996 $aBeginning Azure Cognitive Services$92035852 997 $aUNINA