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Artificial Intelligence By Example

You're reading from   Artificial Intelligence By Example Develop machine intelligence from scratch using real artificial intelligence use cases

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788990547
Length 490 pages
Edition 1st Edition
Languages
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Author (1):
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Denis Rothman Denis Rothman
Author Profile Icon Denis Rothman
Denis Rothman
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Table of Contents (19) Chapters Close

Preface 1. Become an Adaptive Thinker 2. Think like a Machine FREE CHAPTER 3. Apply Machine Thinking to a Human Problem 4. Become an Unconventional Innovator 5. Manage the Power of Machine Learning and Deep Learning 6. Don't Get Lost in Techniques – Focus on Optimizing Your Solutions 7. When and How to Use Artificial Intelligence 8. Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies 9. Getting Your Neurons to Work 10. Applying Biomimicking to Artificial Intelligence 11. Conceptual Representation Learning 12. Automated Planning and Scheduling 13. AI and the Internet of Things (IoT) 14. Optimizing Blockchains with AI 15. Cognitive NLP Chatbots 16. Improve the Emotional Intelligence Deficiencies of Chatbots 17. Quantum Computers That Think 18. Answers to the Questions

Cloud solutions – AWS

Implementing large number data volumes involves using server resources in one form or the other. We have to use on-premise servers or cloud platforms. In this case, it has been decided to outsource server resources and algorithm development to face a large amount of data billion to train.

Several online cloud services offer the solution to machine learning projects. In this chapter, the project was carried out with AWS SageMaker on an AWS S3 data management platform.

Preparing your baseline model

3,000,000 records containing two features, adding up to a 6,000,000 cell matrix dataset, require mini-batches as defined in the next section through hyperparameters.

In the AWS interface, the size of a...

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