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7 books on Chatbots [PDF]
October 24, 2024 | 25 |
These books describe the principles of natural language processing, conversational design, and user experience, used for creating effective and engaging chatbots.
1. Chatbots - How to know everything
2023 by Max Editorial
"Chatbots - How to Know Everything" is the ultimate guide to understanding the world of chatbots and their transformative impact on customer interactions. Covering everything from basic concepts to advanced strategies, this ebook offers practical insights for building high-performance chatbots. Discover how chatbots can enhance efficiency, boost customer satisfaction and generate revenue. Stay ahead of the curve and achieve digital success with this comprehensive resource on chatbots.
Download PDF
2. 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
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. 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
4. 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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5. 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."
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6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
In the bewildering, mind-bending universe of deep learning, where every mathematical equation feels like it’s been designed by a particularly mischievous alien race, comes a book that promises to make sense of it all—*Deep Learning for Natural Language Processing*. Armed with nothing but Python (the coding language, not the snake—though that might actually be less confusing), you’ll embark on a quest through the strange lands of Recurrent Neural Networks, Long Short-Term Memory models and other things with names that sound suspiciously like experimental jazz bands. Starting with the mysterious art of word vectors, you’ll work your way up to creating chatbots that may or may not gain sentience and ask existential questions about life, the universe and why TensorFlow sounds like a futuristic plumbing system. And by the end, you might just find yourself at the precipice of understanding—assuming, of course, your brain doesn’t turn into a neural network itself.
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7. 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. Chatbots - How to know everything
2023 by Max Editorial
"Chatbots - How to Know Everything" is the ultimate guide to understanding the world of chatbots and their transformative impact on customer interactions. Covering everything from basic concepts to advanced strategies, this ebook offers practical insights for building high-performance chatbots. Discover how chatbots can enhance efficiency, boost customer satisfaction and generate revenue. Stay ahead of the curve and achieve digital success with this comprehensive resource on chatbots.
Download PDF
2. 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
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. 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
4. 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
5. 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
6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
In the bewildering, mind-bending universe of deep learning, where every mathematical equation feels like it’s been designed by a particularly mischievous alien race, comes a book that promises to make sense of it all—*Deep Learning for Natural Language Processing*. Armed with nothing but Python (the coding language, not the snake—though that might actually be less confusing), you’ll embark on a quest through the strange lands of Recurrent Neural Networks, Long Short-Term Memory models and other things with names that sound suspiciously like experimental jazz bands. Starting with the mysterious art of word vectors, you’ll work your way up to creating chatbots that may or may not gain sentience and ask existential questions about life, the universe and why TensorFlow sounds like a futuristic plumbing system. And by the end, you might just find yourself at the precipice of understanding—assuming, of course, your brain doesn’t turn into a neural network itself.
Download PDF
7. 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
