You're reading from Artificial Intelligence with Python Your complete guide to building intelligent apps using Python 3.x

Product type Paperback

Published in Jan 2020

Publisher Packt

ISBN-13 9781839219535

Length 618 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Authors (2):

Prateek Joshi

Alberto Artasanchez

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Table of Contents (26) Chapters

Preface

1. Introduction to Artificial Intelligence

2. Fundamental Use Cases for Artificial Intelligence FREE CHAPTER

3. Machine Learning Pipelines

4. Feature Selection and Feature Engineering

5. Classification and Regression Using Supervised Learning

6. Predictive Analytics with Ensemble Learning

7. Detecting Patterns with Unsupervised Learning

8. Building Recommender Systems

9. Logic Programming

10. Heuristic Search Techniques

11. Genetic Algorithms and Genetic Programming

12. Artificial Intelligence on the Cloud

13. Building Games with Artificial Intelligence

14. Building a Speech Recognizer

15. Natural Language Processing

16. Chatbots

17. Sequential Data and Time Series Analysis

18. Image Recognition

19. Neural Networks

20. Deep Learning with Convolutional Neural Networks

21. Recurrent Neural Networks and Other Deep Learning Models

22. Creating Intelligent Agents with Reinforcement Learning

23. Artificial Intelligence and Big Data

24. Other Books You May Enjoy

25. Index

The three V's of big data

It wasn't that long ago that it was customary to purge any log produced by an application after 90 days or so. Companies lately have come to the realization that they were throwing away gold nuggets of information. Additionally, storage has become cheap enough that it's a no brainer to keep these logs. Also, the cloud, the internet, and general advances in technology create even more data now. The number of devices storing and transmitting data, from smartphones to IoT gadgets, industrial sensors, and surveillance cameras have proliferated exponentially around the world, contributing to an explosion in the volume of data.

Figure 4: The three V's of big data

According to IBM, 2.5 exabytes of data were generated every day in 2012. That's a big number by any measure. Also, about 75% of data is unstructured, coming from sources such as text, voice, and video.

The fact that so much of the new data being created is...