You're reading from 50 Algorithms Every Programmer Should Know Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781803247762

Length 538 pages

Edition 2nd Edition

Languages

Processing

Tools

Processing

Concepts

Data Structures and Algorithms

Author (1):

Imran Ahmad

View More author details

Table of Contents (22) Chapters

Preface

1. Section 1: Fundamentals and Core Algorithms FREE CHAPTER

2. Overview of Algorithms

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. Understanding Sequential Models

13. Advanced Sequential Modeling Algorithms

14. Section 3: Advanced Topics

15. Recommendation Engines

16. Algorithmic Strategies for Data Handling

17. Cryptography

18. Large-Scale Algorithms

19. Practical Considerations

20. Other Books You May Enjoy

21. Index

Introducing network analysis theory

Network analysis allows us to delve into data that’s interconnected, presenting it in the form of a network. It involves studying and employing methodologies to examine data that’s arranged in this network format. Here, we’ll break down the core elements and concepts related to network analysis.

At the heart of a network lies the “vertex,” serving as the fundamental unit. Picture a network as a web; vertices are the points of this web, while the links connecting them represent relationships between different entities under study. Notably, different relationships can exist between two vertices, implying that edges can be labeled to denote various kinds of relationships. Imagine two people being connected as “friends” and “colleagues”; both are different relationships but link the same individuals.

To fully harness the potential of network analysis, it’s vital to gauge the...