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)

Chapter 12 – Automated Planning and Scheduling

1 A CNN can be trained to understand an abstract concept. (Yes | No)

Yes. A CNN can classify images and make predictions. But CNNs can analyze any type of object or representation. An image, for example, can be linked to a word or phrase. The image thus becomes a message in itself.

2. It is better to avoid concepts and only use real-life images. (Yes | No)

No. Images provide many practical applications, but at some point, more is required to solve planning problems for example.

Planning requires much more than this type of dataset.

3. Planning and scheduling mean the same thing. (Yes | No)

No. Planning describes the tasks that must be carried out. Scheduling adds a time factor. Planning tells us what to do, and scheduling tells us when.

4. Amazon's manufacturing patent is a revolution. (Yes | No)

No. Manufacturing clothing...