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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics 2. Design and Business Considerations FREE CHAPTER 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 10. Other Books You May Enjoy

Artificial intelligence


Artificial intelligence (AI) is part of computer science since 1950s. AI is broader way of building smart devices or computer machines that are able to work intelligently. It’s used to create intelligent devices or machines working like humans. The scope of AI is nowadays distributed across the fields of electronics, electrical, mechanical, chemical, physics, and many more domains. The activities that are performed by a computer using AI are complex problem solving, learning, planning, speech recognition, reasoning, perception, the ability to move the devices and manipulate objects, knowledge engineering, machine learning, social intelligence, and robotics.

There are quite a few approaches to solving problems using AI, and these approaches are different sets of concepts or patterns. There is no proper theory or steps or unique method to solve a problem. AI is broadly categorized into three approaches:

  • Computational psychology: Deals with human like behavior
  • Computational...
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