This book serves as a starting point to understanding how AI is built, with the help of AI examples, from computer programs such as a simple chess engine to cognitive chatbots. In this edition . author Denis Rothman also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.

<ASIN:1839211539>

Author: Denis Rothman
Publisher: Packt Publishing
Date: February 2020
Pages: 578
ISBN: 978-1839211539
Print: 1839211539
Kindle: B084ZNNBNN
Audience: developers interested in AI
Level: Intermediate
Category: Artificial Intelligence

• Apply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google Translate
• Understand chained algorithms combining unsupervised learning with decision trees
• Solve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graph
• Learn about meta learning models with hybrid neural networks
• Create a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data logging
• Building conversational user interfaces (CUI) for chatbots
• Writing genetic algorithms that optimize deep learning neural networks
• Build quantum computing circuits

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