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50 Algorithms Every Programmer Should Know - Second Edition
50 Algorithms Every Programmer Should Know - Second Edition

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

By Imran Ahmad
$49.99
Book Sep 2023 538 pages 2nd Edition
eBook
$39.99
Print
$49.99
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$15.99 Monthly
eBook
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Print
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Product Details


Publication date : Sep 29, 2023
Length 538 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781803247762
Category :
toc View table of contents toc Preview Book

50 Algorithms Every Programmer Should Know - Second Edition

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

What do you get with Print?

Feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Feature icon Black & white paperback book shipped to your address
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


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

Table of Contents

22 Chapters
Preface Packt Packt
Section 1: Fundamentals and Core Algorithms Packt Packt
Overview of Algorithms Packt Packt
Data Structures Used in Algorithms Packt Packt
Sorting and Searching Algorithms Packt Packt
Designing Algorithms Packt Packt
Graph Algorithms Packt Packt
Section 2: Machine Learning Algorithms Packt Packt
Unsupervised Machine Learning Algorithms Packt Packt
Traditional Supervised Learning Algorithms Packt Packt
Neural Network Algorithms Packt Packt
Algorithms for Natural Language Processing Packt Packt
Understanding Sequential Models Packt Packt
Advanced Sequential Modeling Algorithms Packt Packt
Section 3: Advanced Topics Packt Packt
Recommendation Engines Packt Packt
Algorithmic Strategies for Data Handling Packt Packt
Cryptography Packt Packt
Large-Scale Algorithms Packt Packt
Practical Considerations Packt Packt
Other Books You May Enjoy Packt Packt
Index Packt Packt

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Sandra Patricia Bermudez Kasperczak Feb 22, 2024
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N/A Feb 21, 2024
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N/A Feb 19, 2024
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Kevin Killion Feb 15, 2024
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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
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Kam F Siu Jan 30, 2024
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