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)

Summary

In any machine learning project, we should start by proving that classical programs using SQL queries will not suffice. Then, a baseline or prototype using a sample should prove that the model will work.

Using a cloud platform such as AWS SageMaker with S3 will save corporate investment resources in order to focus on the training job. This proves once again that the future of artificial intelligence experts relies upon their ability to imagine solutions and not to get lost in programming.

No matter what happens, the basic steps will always remain the same, which include proving that artificial intelligence is necessary, building a prototype model, dataset management, and hyperparameter and job optimization.

Amazon, Google, IBM, Microsoft, and others will be offering more platforms, frameworks, and resources for machine learning. These platforms will constantly evolve and...