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

View More author details

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

Importance of image recognition

As it has hopefully become clear from the topics in this book, artificial intelligence in general, and machine learning in particular, are some of the technologies that are driving the digital transformation happening in today's society. Being able to "see" is a critical component of the learning process in humans. Similarly, even though they use different method to "see," capturing images and recognizing what is contained in those images is of paramount importance to computers in order to create datasets to feed machine learning pipelines and obtain insight from that data.

An obvious example of this is self-driving technology. In this case computers, just like their human counterparts, need to be able to ingest gigabytes worth of data in any given second, analyze that data, and make life altering decisions in real time. I am very excited for the day when this technology becomes widely available; my estimation is...