You're reading from Dancing with Python Learn to code with Python and Quantum Computing

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781801077859

Length 744 pages

Edition 1st Edition

Languages

Python

Concepts

Programming Language

Author (1):

Robert S. Sutor

View More author details

Table of Contents (29) Chapters

Preface

1. Chapter 1: Doing the Things That Coders Do

2. Part I: Getting to Know Python FREE CHAPTER

3. Chapter 2: Working with Expressions

4. Chapter 3: Collecting Things Together

5. Chapter 4: Stringing You Along

6. Chapter 5: Computing and Calculating

7. Chapter 6: Defining and Using Functions

8. Chapter 7: Organizing Objects into Classes

9. Chapter 8: Working with Files

10. PART II: Algorithms and Circuits

11. Chapter 9: Understanding Gates and Circuits

12. Chapter 10: Optimizing and Testing Your Code

13. Chapter 11: Searching for the Quantum Improvement

14. PART III: Advanced Features and Libraries

15. Chapter 12: Searching and Changing Text

16. Chapter 13: Creating Plots and Charts

17. Chapter 14: Analyzing Data

18. Chapter 15: Learning, Briefly

19. References

20. Other Books You May Enjoy

21. Index

Appendices

1. Appendix A: Tools

2. Appendix B: Staying Current

3. Appendix C: The Complete UniPoly Class

4. Appendix D: The Complete Guitar Class Hierarchy

5. Appendix E: Notices

6. Appendix F: Production Notes

15.1 What is machine learning?

Consider my complete product browsing and purchase history with an online retailer. This data represents my experience of buying from the seller and their experience selling to me. How can the data and my new purchases help the retailer sell me additional products and services?

Machine learning is a large set of techniques where computer algorithms learn from existing data rather than having hardcoded decisions built into them. Such an algorithm improves its accuracy as it receives new data. It might also get better when humans or processes intervene to judge the correctness and quality of previous results.

In unsupervised learning, an algorithm looks for patterns in the data that may help users gain insight. An unsupervised algorithm may help the retailer see that I have increased interests in cooking, travel, or home repair during certain seasons. The seller can then...