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发表于 2025-3-25 06:27:19
978-1-4842-5554-4Navin Sabharwal, Sudipta Barua, Neha Anand, Pallavi Aggarwal 2020
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发表于 2025-3-25 09:51:35
Navin Sabharwal,Sudipta Barua,Pallavi AggarwalExplains IBM Watson Assistant with a specific use case for IT and BFSI.Explains developing Cognitive Virtual Assistants using DialogFlow and advanced Natural Language Processing.Covers advanced AI fun
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发表于 2025-3-25 16:27:35
Global Poverty Alleviation: A Case Bookto any application. Watson Assistant integrates with a variety of cognitive services provided by the IBM Watson platform to enrich the conversation through spell checks, a tone analyzer, and other services.
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发表于 2025-3-25 21:04:52
https://doi.org/10.1007/978-3-642-32412-3rating the Watson Assistant with external APIs. IBM Cloud Functions is a serverless execution environment for building and connecting cloud services. A cloud function lets you focus on writing code and building solutions without building or maintaining a complex infrastructure.
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发表于 2025-3-26 01:18:32
Various Cognitive Platforms/Engines,ed in a variety of personal digital assistants, including Siri, Cortana, Alexa, and Google Assistant, for solving consumers’ day-to-day use cases. . defines a system that tries to simulate the way a human mind works. These two terms use the same technologies, including machine learning, neural netwo
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Use Cases for Cognitive Virtual Bots,rating the Watson Assistant with external APIs. IBM Cloud Functions is a serverless execution environment for building and connecting cloud services. A cloud function lets you focus on writing code and building solutions without building or maintaining a complex infrastructure.
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发表于 2025-3-26 13:03:17
advanced Natural Language Processing.Covers advanced AI funCognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by us
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发表于 2025-3-26 18:34:24
Various Cognitive Platforms/Engines,rks, natural language processing, and sentimental analysis. IBM defines cognitive computing as “systems that learn at scale, reason with purpose, and interact with humans naturally.” Cognitive computing focuses on human machine interaction by using self-learning algorithms to enable decision-making and to make life easier for humans.