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Cognitive Virtual Assistants Using Google Dialogflow - Agrawal, Amit

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        Présentation Cognitive Virtual Assistants Using Google Dialogflow de Agrawal, Amit Format Broché

         - Livre Informatique

        Livre Informatique - Agrawal, Amit - 29/02/2020 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Agrawal, Amit - Sabharwal, Navin
      • Editeur : Apress
      • Langue : Anglais
      • Parution : 29/02/2020
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 208
      • Expédition : 324
      • Dimensions : 23.5 x 15.5 x 1.2
      • ISBN : 9781484257401



      • Résumé :
        Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather.


        You'll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. You'll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. You'll also integrate with third-party APIs to enrich your cognitive bots using webhooks.


        Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways.
        What You Will Learn
        Develop cognitive bots with Google Dialogflow technology
        Use advanced features to handle complex conversation scenarios
        Enrich the bot's conversations by understanding the sentiment of the user
        See best practices for developing cognitive bots
        Enhance a cognitive bot by integrating with third-party services





        Who This Book Is For



        AI and ML developers.

        Biographie:

        Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management.
        Amit Agrawal is a principal data scientist and researcher delivering solutions in the fields of AI and machine learning. He is responsible for designing end-to-end solutions and architecture for enterprise products.
        ...

        Sommaire:

        Chapter 1: Introduction to Cognitive Virtual Bot
        Chapter Goal: To introduce the basics of Cognitive Virtual Bot
        1.1 What is Cognitive Chatbot
        Chapter 2: Introduction to Google Dialogflow
        Chapter Goal: To introduce the basics of Google Dialogflow
        2.2 What is Google Dialogflow
        2.3 Use cases for Google Dialogflow
        2.4 Bot Frameworks
        2.5 Building your First Bot using Google Dialogflow
        Chapter 3: Advanced Concepts of Google Dialogflow
        Chapter Goal: Details how to build a chatbot with Google Dialogflow
        3.1 Input context and output context
        3.2 Follow up intents
        3.3 Multiple responses
        3.4 Contextual entities
        3.5 Handling combination of intents and entities
        3.6 Event creation
        3.7 Enable fulfillment - webhook and inline editor
        3.8 Slots
        3.9 Handling intent conflicts
        3.10 Showcasing the solutions in various formats like Text, HTML and to integrations such as Google Assistant
        3.11 Multi-lingual chatbots
        3.12 Prebuilt agents
        Chapter 4: Use cases for Cognitive Chatbots using Google Dialogflow
        Chapter Goal: Provide different use cases and integrations for Cognitive Chatbots using Google Dialogflow.
        4.1 Chatbot personality via webhook
        4.2 Simple and complex dialogflow design for travel use case
        4.3 Integration with Google weather API.
        4.4 Additional integrations
        4.5 Intent Identifications - audio, speech responses and sentiment analysis
        4.6 Integrate Google Dialogflow with other services to enhance the conversational flow and search
        Chapter 5: Researches in field of Cognitive Virtual Chatbots
        Chapter Goal: Provides an introduction to the new researches in the areas of Cognitive Virtual Chatbots
        5.1 Cognitive Virtual Chatbots - research

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