Genetic Algorithms and Machine Learning for Programmers (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
236
Utgivningsdatum
2019-02-08
Förlag
The Pragmatic Programmers
Illustrationer
Illustrations, black and white
Dimensioner
235 x 190 x 13 mm
Vikt
413 g
Antal komponenter
1
ISBN
9781680506204
Genetic Algorithms and Machine Learning for Programmers (häftad)

Genetic Algorithms and Machine Learning for Programmers

Create AI Models and Evolve Solutions

Häftad Engelska, 2019-02-08
389
  • Skickas inom 7-10 vardagar.
  • Gratis frakt inom Sverige över 159 kr för privatpersoner.
Finns även som
Visa alla 1 format & utgåvor
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. Discover machine learning algorithms using a handful of self-contained recipes. 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. In this book, you will: 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. 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. Get inspired to design your own machine learning projects and become familiar with the jargon. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.
Visa hela texten

Passar bra ihop

  1. Genetic Algorithms and Machine Learning for Programmers
  2. +
  3. Excel VBA Programming For Dummies

De som köpt den här boken har ofta också köpt Excel VBA Programming For Dummies av Michael Alexander, John Walkenbach (häftad).

Köp båda 2 för 658 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Övrig information

Frances Buontempo is the editor of ACCU's Overload magazine (https: //accu.org/index.php/journal/ overload_by_cover). She has published articles and given talks centered on technology and machine learning. With a PhD in data mining, she has been programming professionally since the 1990s. During her career as a programmer, she has championed unit testing, mentored newer developers, deleted quite a bit of code and fixed a variety of bugs.