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.
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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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