Manisha Biswas - Beginning AI Bot Frameworks: Getting Started with Bot Development

Manisha Biswas

Beginning AI Bot Frameworks Getting Started with Bot Development

Manisha Biswas

Kolkota, West Bengal, India

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-3753-3 . For more detailed information, please visit www.apress.com/source-code .

ISBN 978-1-4842-3753-3 e-ISBN 978-1-4842-3754-0

https://doi.org/10.1007/978-1-4842-3754-0

Library of Congress Control Number: 2018956746

Manisha Biswas 2018

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I dedicate this book to my parents.

Acknowledgments

For me, writing this book was highly inspiring and challenging because of ongoing changes to the technology stacks of the various bot frameworks, so I would like to express special thanks and gratitude to all my teachers and mentors. It was a fascinating journey to complete the book; thanks to all my friends and family for the support.

Table of Contents

About the Author and About the Technical Reviewer

About the Author

Manisha Biswas

has a Bachelor of Technology degree in information technology and is currently working as a data scientist at Prescriber360, in Kolkata, India. She is involved with several areas of technology, including web development, IoT, soft computing, and artificial intelligence. She is also an Intel Software Innovator and was awarded the Shri Dewang Mehta IT Award in 2016 by NASSCOM. Biswas recently formed a Women in Technology community in Kolkata to empower women to learn and explore new technologies. She has always had a passion for inventing things, creating something new, and inventing new looks for old things. When not in front of her terminal, she is an explorer, a foodie, a doodler, and a dreamer. Biswas is always eager to share her knowledge and ideas with others. She is following that passion by sharing her experiences with her community so that others can learn and give shape to new ideas in innovative ways. This passion is also what inspired her to become an author and write this book.

About the Technical Reviewer

Abhishek Nandy

has a Bachelor of Technology degree in IT. He considers himself a constant learner and is a Microsoft MVP for the Windows Platform, an Intel Black Belt Software Developer, as well as an Intel Software Innovator. He has a keen interest in AI, IoT, and game development. Currently, he is an application architect in an IT firm as well as a consultant in AI and IoT who works on projects related to AI, ML, and deep learning. He also is an AI trainer and runs the technical part of the Intel AI Student Developer program. He was involved in the first Make in India initiative, where he was among top 50 innovators and was trained in IIMA.

This chapter covers the basics of bots, how they work, and their interactions with users. We will also touch on what exactly artificial intelligence (AI) is before moving on to discuss further details of chatbots and why they are necessary.

Additionally, this chapter explains the connections between AI and its subsets of machine learning and deep learning. Finally, we will study the structure of AI and bots and cover available bot frameworks.

Artificial intelligence , or AI, is a buzzword nowadays. It is a branch of computer science gaining immense popularity. The goal of AI is to create computer systems that are independent and function intelligently.

AI is easiest to understand when we describe it in terms of characteristics or capabilities of human beings. Lets explore how AI works with human beings or models human behavior.

Human beings connect with other human beings through language. In the field of AI, we call that language exchange speech recognition . Because speech recognition is more statistically based, we call this type of learning statistical learning .

Humans can read and write text. In AI, this communication process is called natural language processing (NLP) .

Humans also can see through their eyes and process what they see. This kind of perception, when converted into the medium of AI, is known as computer vision . Computer vision falls under a category of computer science that deals with symbolic learning.

When humans look at the world around them, they create pictures through their eyes. In AI terminology, this is known as image processing .

Humans can recognize their environment and move around it freely and in any manner. When we replicate these kinds of actions in AI, we enable robotics .