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.
publication date
2020-06-12
what you will learn
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
Predict the weather using supervised learning algorithms
Use neural networks for object detection
Create a recommendation engine that suggests relevant movies to subscribers
Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)
key features
Learn the techniques you need to know to design algorithms for solving complex problems * Become familiar with neural networks and deep learning techniques * Explore different types of algorithms and choose the right data structures for their optimal implementation
approach
This book tries to achieve a balance between developing the skill to select and use the algorithm to solve a real-world problem and to explain the logic behind it for a deeper understanding. This book also discusses state-of-the-art techniques to enable parallel processing providing the ability to use these algorithms for compute-intensive tasks.
audience
This 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 commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.
short description
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.
subtitle
Hone your problem-solving skills by learning different algorithms and their implementation in Python
keywords
coding interview; Python book; Python data science; Computational thinking; algorithms and data strutures; machine learning python; Python algorithms
Product ISBN
9781789801217
