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50 Algorithms Every Programmer Should Know
50 Algorithms Every Programmer Should Know

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography , Second Edition

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Profile Icon Imran Ahmad
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (66 Ratings)
Paperback Sep 2023 538 pages 2nd Edition
eBook
zł161.99
Paperback
zł201.99
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Free Trial
Arrow left icon
Profile Icon Imran Ahmad
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (66 Ratings)
Paperback Sep 2023 538 pages 2nd Edition
eBook
zł161.99
Paperback
zł201.99
Subscription
Free Trial
eBook
zł161.99
Paperback
zł201.99
Subscription
Free Trial

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Key benefits

  • Familiarize yourself with advanced deep learning architectures
  • Explore newer topics, such as handling hidden bias in data and algorithm explainability
  • Get to grips with different programming algorithms and choose the right data structures for their optimal implementation

Description

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 but also to understand 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 will then 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 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 are 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.

Who is this book for?

This computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Python programming experience is a must, knowledge of data science will be helpful but not necessary.

What you will learn

  • Design algorithms for solving complex problems
  • Become familiar with neural networks and deep learning techniques
  • Explore existing data structures and algorithms found in Python libraries
  • Implement graph algorithms for fraud detection using network analysis
  • Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples
  • Create a recommendation engine that suggests relevant movies to subscribers
  • Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 29, 2023
Length: 538 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803247762
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Product Details

Publication date : Sep 29, 2023
Length: 538 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803247762
Category :
Languages :
Tools :

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Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(66 Ratings)
5 star 75.8%
4 star 10.6%
3 star 6.1%
2 star 3%
1 star 4.5%
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Sandra Patricia Bermudez Kasperczak Feb 22, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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N/A Feb 21, 2024
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N/A Feb 19, 2024
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Greg Wagner Nov 01, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book does a great job of covering the fundamental algorithm concepts and their related data structures in a easy to understand way with practical examples. The book covers topics from basic sorting and search algorithm to more advanced topics like cyrptography and machine learning. It's a good desk reference devs and grad students.
Amazon Verified review Amazon
Joe Chu Oct 10, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book contains strategies and methods that are used to design, create, and modify algorithms using Python. It further distinguishes itself from other books in its ability to explain data structures in Python and how they relate to algorithms. The book further breaks down the algorithm into its basic versions and applications. Examples would be Search Algorithms, PageRank Algorithms, and so on. Designing algorithms “from scratch” is not an easy task, moreover, this book explains it in detail step by step. Continuing, it goes through this process into Machine Learning, Neural Network, and Natural Language Processing Algorithms again using Python. I feel each of these sections could easily be a book on their own with their breadth of depth into each subject and breakdown. The book finishes up with some advanced topics such as Sequential Modeling and recommendation engines. It further delves into advanced concepts such as data handling and large-scale algorithms.
Amazon Verified review Amazon
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