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40 Algorithms Every Programmer Should Know

You're reading from   40 Algorithms Every Programmer Should Know Hone your problem-solving skills by learning different algorithms and their implementation in Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms FREE CHAPTER 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

Traditional Supervised Learning Algorithms

In this chapter, we will focus on supervised machine learning algorithms, which are one of the most important types of modern algorithms. The distinguishing characteristic of a supervised machine learning algorithm is the use of labeled data to train a model. In this book, supervised machine learning algorithms are divided into two chapters. In this chapter, we will present all the traditional supervised machine learning algorithms, excluding neural networks. The next chapter is all about implementing supervised machine learning algorithms using neural networks. The truth is that with so much ongoing development in this field, neural networks are a comprehensive topic that deserves a separate chapter in this book. 

So, this chapter is the first of two parts about supervised machine learning algorithms. First, we will introduce the...

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