Book Image

40 Algorithms Every Programmer Should Know

By : Imran Ahmad
5 (2)
Book Image

40 Algorithms Every Programmer Should Know

5 (2)
By: Imran Ahmad

Overview of this book

Algorithms have always played an important role in both the science and practice of computing. 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 solve real-world problems 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, 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. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. 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 book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
Table of Contents (19 chapters)
1
Section 1: Fundamentals and Core Algorithms
7
Section 2: Machine Learning Algorithms
13
Section 3: Advanced Topics

Introduction to data algorithms

Whether we realize it or not, we are living in an era of big data. Just to get an idea about how much data is constantly being generated, just look into some of the numbers published by Google for 2019. As we know, Google Photos is the multimedia repository for storing photos created by Google. In 2019, an average of 1.2 billion photos and videos were uploaded to Google Photos every day. Also, an average of 400 hours of video (amounting to 1 PB of data) were uploaded every minute each day to YouTube. We can safely say the amount of data that is being generated has simply exploded.

The current interest in data-driven algorithms is driven by the fact that data contains valuable information and patterns. If used in the right way, data can become the basis of policy-making decisions, marketing, governance, and trend analysis.

For obvious...