genetic algorithm and machine learning
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers): Buontempo, Frances: 9781680506204: Amazon.com: Books
Have you ever heard the term, "Coding your way out of a paper bag"? In this book, you'll do exactly that. In each chapter, you'll examine different machine learning techniques that you can use to programmatically get particles, ants, bees, and even turtles out of a paper bag. While the metaphor itself may be silly, it's a great way to demonstrate how algorithms find solutions over time. If you're a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.
Genetic Algorithms and Machine Learning for Programmers
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Get all eBook formats here for $24.95 (USD) Find indie bookstores in the U.S. Find indie bookstores around the world.
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions by Frances Buontempo
Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem.