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# 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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# Fundamentals and Core Algorithms

This section introduces the core aspects of algorithms. We will explore what an algorithm is and how to design one. We will also learn about the data structures used in algorithms. This section also introduces sorting and searching algorithms along with algorithms to solve graphical problems. The chapters included in this section are:

• Chapter 1, Overview of Algorithms
• Chapter 2, Data Structures Used in Algorithms
• Chapter 3, Sorting and Searching Algorithms
• Chapter 4, Designing Algorithms
• Chapter 5, Graph Algorithms
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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.

## 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

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

## What do you get with eBook?

Instant access to your Digital eBook purchase
Download this book in EPUB and PDF formats
AI Assistant (beta) to help accelerate your learning
Access this title in our online reader with advanced features
DRM FREE - Read whenever, wherever and however you want

## Product Details

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

## Frequently bought together

Total Mex\$ 1,721.97 2,462.97 741.00 saved
Mex\$573.99 Mex\$820.99
Mex\$573.99 Mex\$820.99
Mex\$573.99 Mex\$820.99
=
Total Mex\$ 1,721.97 2,462.97 741.00 saved

## 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

## Customer reviews

Rating distribution
4
(5 Ratings)
5 star 60%
4 star 20%
3 star 0%
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1 star 20%
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Sandra Patricia Bermudez Kasperczak Feb 22, 2024
5
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Kam F Siu Jan 30, 2024
4
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N/A Feb 19, 2024
5
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Kevin Killion Feb 15, 2024
1
The TITLE of this item is very misleading. It SHOULD be titled, ""50 Algorithms Every PYTHON Programmer Should Know". Plus, the files in the sample code are unreadable. Here is what I wrote to you previously: It's only ten bucks, but this is a big disappointment so far. I've been programming since about 1971,and have built and sold many projects. But I saw a few topics in the ebook "50 Algorithms Every Programmer Should Know" that I wanted to know more about, so I purchased it just now. 1) NOWHERE in the promo email or web page was there a warning that the sample code in this was in Python. That alone would have killed my interest in buying it. 2) I eventually figured out how to download the sample code as a single ZIP. However, none of my tools are coping with whatever this code uses for line endings. BBEdit can usually deal with anything but all I get is a single line, even after switching line ending settings. SKEdit, TextEdit and even Word fail as well. Is it some kind of mystical Python format????? It's only ten bucks, but still what a waste. Kevin Killion
Feefo Verified review
N/A Feb 21, 2024
5
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