Book Image

50 Algorithms Every Programmer Should Know - Second Edition

By : Imran Ahmad
4 (5)
Book Image

50 Algorithms Every Programmer Should Know - Second Edition

4 (5)
By: Imran Ahmad

Overview of 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 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.
Table of Contents (22 chapters)
Free Chapter
1
Section 1: Fundamentals and Core Algorithms
7
Section 2: Machine Learning Algorithms
14
Section 3: Advanced Topics
20
Other Books You May Enjoy
21
Index

Preface

In the realm of computing, from foundational theories to hands-on applications, algorithms are the driving force. In this updated edition, we delve even further into the dynamic world of algorithms, broadening our scope to tackle pressing, real-world issues. Starting with the rudiments of algorithms, we journey through a myriad of design techniques, leading to intricate areas like linear programming, page ranking, graphs, and a more profound exploration of machine learning. To ensure we’re at the forefront of technological advancements, we’ve incorporated substantial discussions on sequential networks, LLMs, LSTM, GRUs, and now, cryptography and the deployment of large-scale algorithms in cloud computing environments.

The significance of algorithms in recommendation systems, a pivotal element in today’s digital age, is also meticulously detailed. To effectively wield these algorithms, understanding their underlying math and logic is paramount. Our hands-on case studies, ranging from weather forecasts and tweet analyses to film recommendations and delving into the nuances of LLMs, exemplify their practical applications.

Equipped with the insights from this book, our goal is to bolster your confidence in deploying algorithms to tackle modern computational challenges. Step into this expanded journey of deciphering and leveraging algorithms in today’s evolving digital landscape.