50 Algorithms Every Programmer Should Know - Imran Ahmad

50 Algorithms Every Programmer Should Know

Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

(Autor)

Buch | Softcover
538 Seiten
2023 | 2nd Revised edition
Packt Publishing Limited (Verlag)
978-1-80324-776-2 (ISBN)
47,35 inkl. MwSt
Algorithms play an important role in both the science and practice of computing. To optimally use algorithms, a deeper understanding of their logic and mathematics is essential. Beyond traditional computing, the ability to apply these algorithms to solve real-world problems is a necessary skill, and this is what this book focuses on.
Solve classic computer science problems from fundamental algorithms, such as sorting and searching, to modern algorithms in machine learning and cryptography

Key Features

* More emphasis on modern deep learning techniques, including LSTMs, GRUs, and RNNs
* Newer topics include how to handle hidden bias in data and the explainability of the algorithms
* Explore different programming algorithms and choose the right data structures for their optimal implementation

Book Description

Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. 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, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them.
Case studies on weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Then you will focus on deep learning algorithms and will learn about different types of deep learning models along with their practical use.
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
* Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time
* Create a recommendation engine that suggests relevant movies to subscribers
* Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform

Who This Book Is 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.

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.

Table of Contents
* Overview of Algorithms
* Data Structures Used in Algorithms
* Sorting and Searching Algorithms
* Designing Algorithms
* Graph Algorithms
* Unsupervised Machine Learning Algorithms
* Traditional Supervised Learning Algorithms
* Neural Network Algorithms
* Advanced Deep Learning Algorithms
* Algorithms for Natural Language Processing
* Recommendation Engines
* Data Algorithms
* Cryptography
* Large-Scale Algorithms
* Practical Considerations

Erscheinungsdatum
Vorwort Somaieh Nikpoor
Verlagsort Birmingham
Sprache englisch
Maße 191 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
ISBN-10 1-80324-776-2 / 1803247762
ISBN-13 978-1-80324-776-2 / 9781803247762
Zustand Neuware
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