Algorithms for Dummies

Algorithms For Dummies addresses people who are interested in algorithms without requiring them to pursue a PhD on the subject. The idea is that we already live in a world where algorithms are behind most of the technology we use, so we need to understand them better. In order to make this happen, the book would present the major areas comprising algorithms (optimization, sort, graph, hash, string, dynamic programming) telling the history behind algorithms, presenting actual applications, simply explaining the nuts and bolts of the algorithm. For readers who are interested, the book presents an implementation in Python and some experiments with them, so they can get hands on experience developing an algorithm from start to finish. The goal is to create an accessible introduction to algorithms, so that the reader can understand how the key algorithms work and how to benefit from algorithms when working on projects and implementing them in business strategy.

John Paul Mueller has produced 102 books and more than 600 articles to date on topics ranging from networking to machine learning. Luca Massaron is a data scientist specializing in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques.