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  • Book Overview & Buying Artificial Intelligence By Example
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Artificial Intelligence By Example

Artificial Intelligence By Example

By : Denis Rothman, Nicolas GUET, Jérémie ROTHMAN
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Artificial Intelligence By Example

Artificial Intelligence By Example

4 (6)
By: Denis Rothman, Nicolas GUET, Jérémie 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)
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Think like a Machine

The first chapter described a reinforcement learning algorithm through the Q action-value function used by DQN. The agent was a driver. You are at the heart of DeepMind's approach to AI.

DeepMind is no doubt one of the world leaders in applied artificial intelligence. Scientific, mathematical, and applications research drives its strategy.

DeepMind was founded in 2010, was acquired by Google in 2014, and is now part of Alphabet, a collection of companies that includes Google.

One of the focuses of DeepMind is on reinforcement learning. They came up with an innovate version of reinforcement learning called DQN and referring to deep neural networks using the Q function (Bellman's equation). A seminal article published in February 2015 in Nature (see the link at the end of the chapter) shows how DQN outperformed other artificial intelligence research...

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Artificial Intelligence By Example
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