Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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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...