Book Image

Artificial Intelligence By Example

By : Denis Rothman
Book Image

Artificial Intelligence By Example

By: Denis Rothman

Overview of this book

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Table of Contents (19 chapters)

Is AI disruptive?

The word "disruptive" is more often than not associated with artificial intelligence. Media hype tells us that AI robots will soon have replaced humans around the world. Although media hype made it much easier to obtain AI budgets, we need to know where we stand if we want to implement an AI solution. If we want to innovate, we need to find the cutting edge and build new ideas from there.

Why not just plunge into the tools and see what happens? Is that a good idea or a risky one? Unlike corporations with huge budgets, a single human has limited resources. If you spend time learning in the wrong direction, it will take months to gather enough experience in another better direction to reach your goal. For example, suppose you have trouble classifying large amounts of data (see the example in Chapter 7, When and How to Use Artificial Intelligence); you...