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Hands-On Machine Learning on Google Cloud Platform

You're reading from   Hands-On Machine Learning on Google Cloud Platform Implementing smart and efficient analytics using Cloud ML Engine

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Length 500 pages
Edition 1st Edition
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Authors (3):
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Alexis Perrier Alexis Perrier
Author Profile Icon Alexis Perrier
Alexis Perrier
V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introducing the Google Cloud Platform FREE CHAPTER 2. Google Compute Engine 3. Google Cloud Storage 4. Querying Your Data with BigQuery 5. Transforming Your Data 6. Essential Machine Learning 7. Google Machine Learning APIs 8. Creating ML Applications with Firebase 9. Neural Networks with TensorFlow and Keras 10. Evaluating Results with TensorBoard 11. Optimizing the Model through Hyperparameter Tuning 12. Preventing Overfitting with Regularization 13. Beyond Feedforward Networks – CNN and RNN 14. Time Series with LSTMs 15. Reinforcement Learning 16. Generative Neural Networks 17. Chatbots

Summary

In this chapter, we discovered the amazing world of chatbots. Chatbots are robots, that interact with users through a chat and are able to assist them by carrying out extremely limited tasks: providing information on a current account, buying a ticket, receiving news about the weather, and so forth.

To begin with, we took a look at the fundamentals of the topic, starting with the history of chatbots in the 1950s, with the efforts of Alan Turing and various subsequent implementations of chatbots that perfected the basic concepts. Eliza, Parry, Jabberwacky, Dr. Sbaitso, ALICE, SmarterChild, and IBM Watson are the most important examples. As time passed and technology evolved, more and more sophisticated AI methods were created.

After introducing the basic concepts, we focused on the design techniques of chatbots and then moved on to analyze the architecture of a chatbot...

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