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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

Data Algorithms

This chapter is about data-centric algorithms and, in particular, it focuses on three aspects of data-centric algorithms: storage, streaming, and compression. This chapter starts with a brief overview of data-centric algorithms, then we will discuss various strategies that can be used in data storage. Next, how to apply algorithms to streaming data is described, then different methodologies to compress data are discussed. Finally, we will learn how we can use the concepts developed in this chapter to monitor the speeds of cars traveling on a highway using a state-of-the-art sensor network.

By the end of this chapter, you should be able to understand the concepts and trade-offs involved in the design of various data-centric algorithms.

This chapter discusses the following concepts:

  • Data classification

  • Data storage algorithms

  • How to use algorithms to compress...

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