Focusing on the Nx project within the Elixir programming language, this book explores how to harness machine learning's capabilities using the Erlang VM. It offers practical guidance on applying Elixir and Nx to address real-world challenges in fields like computer vision and natural language processing. Readers will gain insights into leveraging these technologies to develop innovative applications, making complex machine learning tasks more accessible and efficient.
Evolutionary algorithms are a unique and often overlooked subset of machine learning and artificial intelligence. Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind.Start from the ground up with genetic algorithms in a language you are familiar with. Discover the power of genetic algorithms through simple solutions to challenging problems. Use Elixir features to write genetic algorithms that are concise and idiomatic. Learn the complete life cycle of solving a problem using genetic algorithms. Understand the different techniques and fine-tuning required to solve a wide array of problems. Plan, test, analyze, and visualize your genetic algorithms with real-world applications.Open your eyes to a unique and powerful field—without having to learn a new language or framework.