- Simulate Darwinian evolution and optimize with swarm-based search algorithms
- Design scientific experiments to produce more meaningful results by making them truly random
- Implement machine learning algorithms like neural networks and random forests
- Use Markov Chain Monte Carlo methods to sample from complex distributions
- Hide information in audio files and images, generate art, and create music
- Reconstruct original signals and images from only randomly sampled data
Scientific anecdotes and code examples throughout illustrate how randomness plays into areas like optimization, machine learning, and audio signals. End-of-chapter exercises encourage further exploration. Whether you're a programmer, scientist, engineer, mathematician, or artist, you'll find The Art of Randomness to be your ticket to discovering the hidden power of applied randomness and the ways it can transform your approach to solving problems, from the technical to the artistic.
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