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Python: Advanced Guide to Artificial Intelligence

You're reading from   Python: Advanced Guide to Artificial Intelligence Expert machine learning systems and intelligent agents using Python

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789957211
Length 764 pages
Edition 1st Edition
Languages
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Authors (2):
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Giuseppe Bonaccorso Giuseppe Bonaccorso
Author Profile Icon Giuseppe Bonaccorso
Giuseppe Bonaccorso
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (31) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Machine Learning Model Fundamentals FREE CHAPTER 2. Introduction to Semi-Supervised Learning 3. Graph-Based Semi-Supervised Learning 4. Bayesian Networks and Hidden Markov Models 5. EM Algorithm and Applications 6. Hebbian Learning and Self-Organizing Maps 7. Clustering Algorithms 8. Advanced Neural Models 9. Classical Machine Learning with TensorFlow 10. Neural Networks and MLP with TensorFlow and Keras 11. RNN with TensorFlow and Keras 12. CNN with TensorFlow and Keras 13. Autoencoder with TensorFlow and Keras 14. TensorFlow Models in Production with TF Serving 15. Deep Reinforcement Learning 16. Generative Adversarial Networks 17. Distributed Models with TensorFlow Clusters 18. Debugging TensorFlow Models 19. Tensor Processing Units
20. Getting Started 21. Image Classification 22. Image Retrieval 23. Object Detection 24. Semantic Segmentation 25. Similarity Learning 1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Artificial Intelligence for Robotics Francis X. Govers

ISBN: 9781788835442

  • Get started with robotics and artificial intelligence
  • Apply simulation techniques to give your robot an artificial personality
  • Understand object recognition using neural networks and supervised learning techniques
  • Pick up objects using genetic algorithms for manipulation
  • Teach your robot to listen using NLP via an expert system
  • Use machine learning and computer vision to teach your robot how to avoid obstacles
  • Understand path planning, decision trees, and search algorithms in order to enhance your robot

Hands-On Chatbot Development with Alexa Skills and Amazon Lex Sam Williams

ISBN: 9781788993487

  • Create a development environment using Alexa Skills Kit, AWS CLI, and Node.js
  • Build Alexa Skills and Lex chatbots from scratch
  • Gain access to third-party APIs from your Alexa Skills and Lex chatbots
  • Use AWS services such as Amazon S3 and DynamoDB to enhance the abilities of your Alexa Skills and Amazon Lex chatbots
  • Publish a Lex chatbot to Facebook Messenger, Twilio SMS, and Slack
  • Create a custom website for your Lex chatbots
  • Develop your own skills for Alexa-enabled devices such as the Echo

 

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