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Hands-On Data Structures and Algorithms with Python

You're reading from   Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Length 398 pages
Edition 2nd Edition
Languages
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Authors (2):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Table of Contents (16) Chapters Close

Preface 1. Python Objects, Types, and Expressions FREE CHAPTER 2. Python Data Types and Structures 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Learning about machine learning

Machine learning is a subfield of artificial intelligence. Machine learning is basically an algorithm that can learn from the example data and can provide predictions based on that. Machine learning models learn the patterns from the data examples and use those learned patterns to make predictions for unseen data. For example, we feed many examples of spam and ham email messages to develop a machine learning model that can learn the patterns in emails and can classify new emails as spam or ham.

Types of machine learning

There are three broad categories of machine learning, as follows:

  • Supervised learning: Here, an algorithm is fed a set of inputs and their corresponding outputs. The algorithm...
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