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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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Toc

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

Introducing network analysis theory

We know that interconnected data can be represented as a network. In network analysis theory, we study the details of the methodologies developed to explore and analyze data represented as a network . Let's look at some important aspects of network analysis theory in this section. 

First, note that a vertex in a network acts as the basic unit. A network is an interconnected web of vertices where each connection represents the relationship between various entities under investigation. It is important to quantify the usefulness and importance of a vertex in a network in the context of the problem we are trying to solve. There are various techniques that can help us quantify the importance. 

Let's look at some of the important concepts used in network analysis theory.

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