Average article rating: 4.45
Artificial Intelligence
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| Machine Learning |
5 Jun 2016
Updated: 6 Jun 2016
Rating: 4.47/5
Votes: 19
Popularity: 5.61
Licence: Apache
Views: 81,237
Bookmarked: 12
Downloaded: 1,572
A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.
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Programming Languages
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| C# |
30 Nov 2008
Updated: 30 Nov 2008
Rating: 4.43/5
Votes: 3
Popularity: 2.11
Licence: CPOL
Views: 25,990
Bookmarked: 10
Downloaded: 70
This article presents a solution to the problem of performing flexible Set exclusion (A-B) on an IEnumerable while maintaining a fluid programming style.
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Software Developer (Senior)
United States
I am a polyglot programmer with more than 15 years of professional programming experience and author of Genetic Algorithms with Python. When learning a new programming language, I start with a familiar problem and try to learn enough of the new language to solve it. For me, writing a genetic engine is that familiar problem. Why a genetic engine? For one thing, it is a project where I can explore interesting puzzles, and where even a child's game like Tic-Tac-Toe can be viewed on a whole new level. Also, I can select increasingly complex puzzles to drive evolution in the capabilities of the engine. This allows me to discover the expressiveness of the language, the power of its tool chain, and the size of its development community as I work through the idiosyncrasies of the language.
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