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50 Algorithms Every Programmer Should Know - Second Edition

By Imran Ahmad
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This is an Early Access product. Chapters may lack final editing and while we strive for accuracy, the content is subject to updates during development. Learn more.
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60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
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Personalised content suggestions
Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
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Download this book in EPUB and PDF formats
Access this title in our online reader
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Get a paperback copy of the book delivered to your specified Address*
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  1. Free Chapter
    40 Algorithms Every Programmer Should Know, Second Edition: Python algorithms to live by to enhance your problem-solving skills
About this book
The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world by understanding how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and will learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
Publication date:
August 2023
Publisher
Packt
ISBN
9781803247762
 

40 Algorithms Every Programmer Should Know, Second Edition: Python algorithms to live by to enhance your problem-solving skills

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.

You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

  1. Chapter 1: Overview of Algorithms
  2. Chapter 2: Data Structures Used in Algorithms
  3. Chapter 3: Sorting and Searching Algorithms
  4. Chapter 4: Designing Algorithms
  5. Chapter 5: Graph Algorithms
  6. Chapter 6: Unsupervised Machine Learning Algorithms
  7. Chapter 7: Traditional Supervised Learning Algorithms
  8. Chapter 8: Neural Network Algorithms
  9. Chapter 9: Advanced Deep Learning Algorithms
  10. Chapter 10: Algorithms for Natural Language Processing
  11. Chapter 11: Recommendation Engines
  12. Chapter 12: Data Algorithms
  13. Chapter 13: Cryptography
  14. Chapter 14: Large-Scale Algorithms
  15. Chapter 15: Practical Considerations
Read more
About the Author
  • Imran Ahmad

    Imran Ahmad has been a part of cutting-edge research about algorithms and machine learning for many years. He completed his PhD in 2010, in which he proposed a new linear programming-based algorithm that can be used to optimally assign resources in a large-scale cloud computing environment. In 2017, Imran developed a real-time analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various machine learning algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) at the Canadian Federal Government as a data scientist. He is using machine learning algorithms for critical use cases. Imran is a visiting professor at Carleton University, Ottawa. He has also been teaching for Google and Learning Tree for the last few years.

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50 Algorithms Every Programmer Should Know - Second Edition
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