Mueller John Paul, Massaron Luca. Algorithms For Dummies

John Wiley & Sons, Inc., 2017. — 430 p. — ISBN: 9781119330493.Discover how algorithms shape and impact our digital world
All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see — based on our likes, dislikes, queries, views, interests, relationships, and more — online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making.
Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives.Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science — how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python!
Become well-versed in the major areas comprising algorithms
Examine the incredible history behind algorithms
Get familiar with real-world applications of problem-solving procedures
Experience hands-on development of an algorithm from start to finish with Python
If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.Getting Started
Introducing Algorithms
Considering Algorithm Design
Using Python to Work with Algorithms
Introducing Python for Algorithm Programming
Performing Essential Data Manipulations Using Python
Understanding the Need to Sort and Search
Structuring Data
Arranging and Searching Data
Exploring the World of Graphs
Understanding Graph Basics
Reconnecting the Dots
Discovering Graph Secrets
Getting the Right Web page
Struggling with Big Data
Managing Big Data
Parallelizing Operations
Compressing Data
Challenging Difficult Problems
Working with Greedy Algorithms
Relying on Dynamic Programming
Using Randomized Algorithms
Performing Local Search
Employing Linear Programming
Considering Heuristics
The Part of Tens
Ten Algorithms That Are Changing the World
Ten Algorithmic Problems Yet to Solve