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50 Algorithms Every Programmer Should Know - Second Edition

You're reading from  50 Algorithms Every Programmer Should Know - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803247762
Pages 538 pages
Edition 2nd Edition
Languages
Author (1):
Imran Ahmad Imran Ahmad
Profile icon Imran Ahmad

Table of Contents (22) Chapters

Preface 1. Section 1: Fundamentals and Core Algorithms
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

Preface

In the realm of computing, from foundational theories to hands-on applications, algorithms are the driving force. In this updated edition, we delve even further into the dynamic world of algorithms, broadening our scope to tackle pressing, real-world issues. Starting with the rudiments of algorithms, we journey through a myriad of design techniques, leading to intricate areas like linear programming, page ranking, graphs, and a more profound exploration of machine learning. To ensure we’re at the forefront of technological advancements, we’ve incorporated substantial discussions on sequential networks, LLMs, LSTM, GRUs, and now, cryptography and the deployment of large-scale algorithms in cloud computing environments.

The significance of algorithms in recommendation systems, a pivotal element in today’s digital age, is also meticulously detailed. To effectively wield these algorithms, understanding their underlying math and logic is paramount. Our hands-on case studies, ranging from weather forecasts and tweet analyses to film recommendations and delving into the nuances of LLMs, exemplify their practical applications.

Equipped with the insights from this book, our goal is to bolster your confidence in deploying algorithms to tackle modern computational challenges. Step into this expanded journey of deciphering and leveraging algorithms in today’s evolving digital landscape.

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