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Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
Languages
Tools
Concepts
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Author (1):
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Syed Muhammad Fahad Akhtar Syed Muhammad Fahad Akhtar
Author Profile Icon Syed Muhammad Fahad Akhtar
Syed Muhammad Fahad Akhtar
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Toc

Table of Contents (21) Chapters Close

Preface 1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 20. Other Books You May Enjoy

Summary

In this chapter, we discussed what artificial intelligence is, starting from when it was a theory and considering how it evolved from there. We also discussed how all the rapid advancements in technology are changing the world around it. We then discussed the most important concept in AI, CNNs, in which we try to mimic the functionality of a human brain and how it pursues any given task.

We then listed down some libraries that are very useful in terms of designing neural networks, especially deep neural networks. We then got into some details about the most used library among them, which is developed by Google and named TensorFlow. After an introduction about it, we proceeded further by setting up its environment so that we could use it to develop our own neural network program. We then learned about the TensorBoard tool, namely how to configure and use it. It comes with...

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