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Artificial Intelligence with Python - Second Edition

You're reading from  Artificial Intelligence with Python - Second Edition

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781839219535
Pages 618 pages
Edition 2nd Edition
Languages
Author (1):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi

Table of Contents (26) Chapters

Preface 1. Introduction to Artificial Intelligence 2. Fundamental Use Cases for Artificial Intelligence 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

Understanding what it means to learn

The concept of learning is fundamental to Artificial Intelligence. We want machines to understand the process of learning so that they can do it on their own. Humans learn by observing and interacting with their surroundings. When you go to a new place, you quickly scan and see what's happening around you.

Nobody is teaching you what to do here. You are observing and interacting with the environment around you. By building this connection with the environment, we tend to gather a lot of information about what's causing different things. We learn about cause and effect, what actions lead to what results, and what we need to do in order to achieve something.

We use this learning process everywhere in our lives. We gather all this knowledge about our surroundings and, in turn, learn how we respond to that. Let's consider the example of an orator. Whenever good orators are giving speeches in public, they are aware of how the crowd...

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