Artificial Intelligence By Example

More Information
Learn
  • Use adaptive thinking to solve real-life AI case studies
  • Rise beyond being a modern-day factory code worker
  • Acquire advanced AI, machine learning, and deep learning designing skills
  • Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology
  • Understand future AI solutions and adapt quickly to them
  • Develop out-of-the-box thinking to face any challenge the market presents
About

Artificial Intelligence has the potential to replicate humans in every field. This book 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, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision.

Features
  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and deep learning design skills
Page Count 490
Course Length 14 hours 42 minutes
ISBN 9781788990547
Date Of Publication 30 May 2018

Authors

Denis Rothman

Denis Rothman graduated from l'Université Paris-Sorbonne and l'Université Paris-Diderot, writing one of the very first word2matrix embedding solutions. He began his career authoring one of the first AI cognitive NLP chatbots applied as a language teacher for Moët et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.