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6 books on Chatbots [PDF]
Updated: May 14, 2024 | 25 |
Books on chatbots serve as invaluable resources for startups embarking on the development of AI-powered chatbots. These texts provide comprehensive insights into the principles of natural language processing, conversational design, and user experience, offering startups a foundational understanding of the complexities and intricacies of creating effective and engaging chatbot interactions.
1. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
"The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Constructing Advanced Enterprise Chatbots, Voice Interfaces, and Telephony Agents on Google Cloud" offers a comprehensive resource for initiating your journey into conversational AI with Google and demonstrates how enterprise users can effectively leverage Dialogflow within the Google Cloud ecosystem. This guide encompasses fundamental principles, from Dialogflow essentials to deploying chatbots across web and social media platforms, and constructing voice agents. It goes beyond the basics, providing invaluable insights into advanced techniques, including intents, entities, and context management. Furthermore, the book explores creating multilingual chatbots, orchestrating sub chatbots within a larger conversational framework, utilizing virtual agent analytics with popular tools like BigQuery or Chatbase, and crafting voice bots. It culminates with coverage of advanced use cases, such as developing fulfillment capabilities, custom integrations, security measures for chatbots, and creating personalized voice platforms using the Dialogflow SDK and other Google Cloud machine learning APIs. By the end of this book, you will possess the expertise to craft cross-channel enterprise bots seamlessly, harnessing the power of Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.
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2. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
"AI-Powered Chatbots: Enhancing Customer Service and Sales" offers a profound exploration of artificial intelligence's role in reshaping customer interactions. Within this comprehensive manual, readers will delve into the world of AI-driven chatbots and their transformative impact on customer service and sales processes. The book elucidates how chatbots, powered by AI, are revolutionizing customer support and sales by delivering efficient, personalized, and round-the-clock assistance. It delves into chatbots' capabilities in comprehending customer inquiries, resolving issues, and streamlining the sales funnel, resulting in heightened customer satisfaction and improved conversion rates. Through real-world examples and actionable implementation strategies, businesses gain the necessary tools to effectively harness AI chatbots. Moreover, the book underscores the significance of striking a harmonious balance between automation and human interaction, ensuring a seamless and empathetic customer journey. As companies endeavor to remain competitive in the digital era, "AI-Powered Chatbots: Enhancing Customer Service and Sales" emerges as an essential read for unlocking AI's potential and revolutionizing customer engagement, paving the way for enduring success.
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3. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
"This book serves as a comprehensive reference for building chatbots tailored to various domains, drawing upon the latest advancements in computational linguistics and machine learning. It emphasizes the application of discourse analysis in text assessment, dialogue management, and content generation to address the limitations of platform-based and data-driven approaches. In the current landscape, two predominant paradigms exist for chatbot development: the first involves building a versatile bot platform with universal natural language processing (NLP) and machine learning (ML) capabilities, while the second relies on extensive training data and deep learning networks. However, both approaches fall short in delivering reliable and adaptable enterprise chatbots with significant domain knowledge. To achieve high-performance chatbots for enterprises, this book advocates a combination of statistical, inductive, deep machine learning, and web-based learning, as well as syntactic, semantic, and discourse-based NLP. It also underscores the importance of ontology-based reasoning and state machines for effective dialogue control in the enterprise context."
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4. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
"This book provides an introductory exploration of chatbots, offering insights into their concept, functionality, and relevance in today's technological landscape. It centers on the practical aspect of building a chatbot using Amazon's Lex service and deploying it on Facebook Messenger for real-time conversations. The book further guides readers through the process of creating a chatbot with Google's Dialogflow and conducting testing within the Dialogflow console. Additionally, it demonstrates the creation of a custom chatbot using Microsoft's bot framework, highlights the integration of webhooks in Dialogflow, and illustrates how to convey responses from the custom bot to Dialogflow intents as a fulfillment response."
Download PDF
5. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
Embark on a journey into the realm of deep learning tailored for natural language processing (NLP) through the pages of this book, replete with comprehensive demonstrations of neural network models like recurrent neural networks, long short-term memory networks, and sequence-to-sequence models. You'll commence by delving into the essential mathematical prerequisites and fundamental concepts underpinning both deep learning and NLP, all illustrated with hands-on examples. The initial chapters of this book lay the groundwork for NLP, commencing with word-vector representation and advancing to more sophisticated algorithms. The latter chapters exclusively focus on practical implementation, navigating the intricacies of advanced architectures such as RNN, LSTM, and Seq2seq, leveraging Python tools like TensorFlow and Keras. The book takes a progressive approach, culminating in the creation of a question-answer chatbot system that integrates the wealth of knowledge you've acquired throughout your journey.
Download PDF
6. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
"In this practical guide, you'll discover the best practices for creating effective chatbots with a strong focus on technological implementation and user experience (UX). The book covers essential topics like setting up a development environment for crafting chatbots across various channels such as Facebook Messenger, Skype, and KiK. It provides insights into the complete chatbot development process, from design to implementation, and explores integration with IFTT (If This Then That) and IoT (Internet of Things). Additionally, you'll delve into analytics and metrics for chatbots and crucial strategies for monetizing your chatbot models. With code snippets provided in the book and complete code available for download, 'Build Better Chatbots' is an accessible resource for developers, programmers, and anyone interested in chatbot development."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
"The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Constructing Advanced Enterprise Chatbots, Voice Interfaces, and Telephony Agents on Google Cloud" offers a comprehensive resource for initiating your journey into conversational AI with Google and demonstrates how enterprise users can effectively leverage Dialogflow within the Google Cloud ecosystem. This guide encompasses fundamental principles, from Dialogflow essentials to deploying chatbots across web and social media platforms, and constructing voice agents. It goes beyond the basics, providing invaluable insights into advanced techniques, including intents, entities, and context management. Furthermore, the book explores creating multilingual chatbots, orchestrating sub chatbots within a larger conversational framework, utilizing virtual agent analytics with popular tools like BigQuery or Chatbase, and crafting voice bots. It culminates with coverage of advanced use cases, such as developing fulfillment capabilities, custom integrations, security measures for chatbots, and creating personalized voice platforms using the Dialogflow SDK and other Google Cloud machine learning APIs. By the end of this book, you will possess the expertise to craft cross-channel enterprise bots seamlessly, harnessing the power of Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.
Download PDF
2. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
"AI-Powered Chatbots: Enhancing Customer Service and Sales" offers a profound exploration of artificial intelligence's role in reshaping customer interactions. Within this comprehensive manual, readers will delve into the world of AI-driven chatbots and their transformative impact on customer service and sales processes. The book elucidates how chatbots, powered by AI, are revolutionizing customer support and sales by delivering efficient, personalized, and round-the-clock assistance. It delves into chatbots' capabilities in comprehending customer inquiries, resolving issues, and streamlining the sales funnel, resulting in heightened customer satisfaction and improved conversion rates. Through real-world examples and actionable implementation strategies, businesses gain the necessary tools to effectively harness AI chatbots. Moreover, the book underscores the significance of striking a harmonious balance between automation and human interaction, ensuring a seamless and empathetic customer journey. As companies endeavor to remain competitive in the digital era, "AI-Powered Chatbots: Enhancing Customer Service and Sales" emerges as an essential read for unlocking AI's potential and revolutionizing customer engagement, paving the way for enduring success.
Download PDF
3. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
"This book serves as a comprehensive reference for building chatbots tailored to various domains, drawing upon the latest advancements in computational linguistics and machine learning. It emphasizes the application of discourse analysis in text assessment, dialogue management, and content generation to address the limitations of platform-based and data-driven approaches. In the current landscape, two predominant paradigms exist for chatbot development: the first involves building a versatile bot platform with universal natural language processing (NLP) and machine learning (ML) capabilities, while the second relies on extensive training data and deep learning networks. However, both approaches fall short in delivering reliable and adaptable enterprise chatbots with significant domain knowledge. To achieve high-performance chatbots for enterprises, this book advocates a combination of statistical, inductive, deep machine learning, and web-based learning, as well as syntactic, semantic, and discourse-based NLP. It also underscores the importance of ontology-based reasoning and state machines for effective dialogue control in the enterprise context."
Download PDF
4. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
"This book provides an introductory exploration of chatbots, offering insights into their concept, functionality, and relevance in today's technological landscape. It centers on the practical aspect of building a chatbot using Amazon's Lex service and deploying it on Facebook Messenger for real-time conversations. The book further guides readers through the process of creating a chatbot with Google's Dialogflow and conducting testing within the Dialogflow console. Additionally, it demonstrates the creation of a custom chatbot using Microsoft's bot framework, highlights the integration of webhooks in Dialogflow, and illustrates how to convey responses from the custom bot to Dialogflow intents as a fulfillment response."
Download PDF
5. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
Embark on a journey into the realm of deep learning tailored for natural language processing (NLP) through the pages of this book, replete with comprehensive demonstrations of neural network models like recurrent neural networks, long short-term memory networks, and sequence-to-sequence models. You'll commence by delving into the essential mathematical prerequisites and fundamental concepts underpinning both deep learning and NLP, all illustrated with hands-on examples. The initial chapters of this book lay the groundwork for NLP, commencing with word-vector representation and advancing to more sophisticated algorithms. The latter chapters exclusively focus on practical implementation, navigating the intricacies of advanced architectures such as RNN, LSTM, and Seq2seq, leveraging Python tools like TensorFlow and Keras. The book takes a progressive approach, culminating in the creation of a question-answer chatbot system that integrates the wealth of knowledge you've acquired throughout your journey.
Download PDF
6. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
"In this practical guide, you'll discover the best practices for creating effective chatbots with a strong focus on technological implementation and user experience (UX). The book covers essential topics like setting up a development environment for crafting chatbots across various channels such as Facebook Messenger, Skype, and KiK. It provides insights into the complete chatbot development process, from design to implementation, and explores integration with IFTT (If This Then That) and IoT (Internet of Things). Additionally, you'll delve into analytics and metrics for chatbots and crucial strategies for monetizing your chatbot models. With code snippets provided in the book and complete code available for download, 'Build Better Chatbots' is an accessible resource for developers, programmers, and anyone interested in chatbot development."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
