Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers)

Machine Learning Algorithms - Unlock Your Creativity! Discover the power of machine learning algorithms with this comprehensive guide.

Learn how to create genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters.

Build a repertoire of algorithms and discover good solutions to problems using heuristics and design fitness functions. With this book, you'll learn how to: * Use heuristics and design fitness functions * Build genetic algorithms * Make nature-inspired swarms with ants, bees, and particles * Create Monte Carlo simulations * Investigate cellular automata * Find minima and maxima using hill climbing and simulated annealing * Try selection methods, including tournament and roulette wheels * Learn about heuristics, fitness functions, metrics, and clusters * Test your code and get inspired to try new problems Whether you're a beginner-to-intermediate programmer or just looking to expand your knowledge in machine learning, this book is for you.

With the included recipes and visualizations, you'll be able to create intelligent algorithms that solve real-world problems.

So why wait? Get started today and unlock your creativity with Machine Learning Algorithms!