Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms Paperback
Jeff Heaton
- 出版商: CreateSpace Independ
- 出版日期: 2014-05-28
- 售價: $1,040
- 貴賓價: 9.5 折 $988
- 語言: 英文
- 頁數: 242
- 裝訂: Paperback
- ISBN: 1499720572
- ISBN-13: 9781499720570
-
相關分類:
人工智慧、Algorithms-data-structures
-
相關翻譯:
人工智能算法 捲2 受大自然啟發的算法 (簡中版)
立即出貨 (庫存 < 4)
買這商品的人也買了...
-
$420$332 -
$550$468 -
$940$700 -
$834$792 -
$980$774 -
$680$646 -
$780$616 -
$360$284 -
$400$316 -
$500$395 -
$1,050$998 -
$1,090$1,036 -
$520$442 -
$380$300 -
$620$484 -
$390$351 -
$560$437 -
$650$507 -
$480$408 -
$580$458 -
$280$221 -
$520$411 -
$550$435 -
$160$160 -
$599$473
相關主題
商品描述
Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own. Among its wonders are strong AI, nanotechnology, and advanced robotics. Nature can therefore serve as a guide for real-life problem solving. In this book, you will encounter algorithms influenced by ants, bees, genomes, birds, and cells that provide practical methods for many types of AI situations. Although nature is the muse behind the methods, we are not duplicating its exact processes. The complex behaviors in nature merely provide inspiration in our quest to gain new insights about data. Artificial Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. No knowledge of biology is needed to read this book. With a forward by Dave Snell.
商品描述(中文翻譯)
大自然的科技比我們自己的科技先進得多,因此可以成為人工智慧演算法的靈感來源。其中包括強人工智慧、奈米技術和先進機器人技術。因此,大自然可以作為現實問題解決的指南。在這本書中,你將會遇到受到螞蟻、蜜蜂、基因、鳥類和細胞啟發的演算法,提供了許多不同類型人工智慧情境的實用方法。儘管大自然是這些方法的靈感來源,我們並不是在複製其精確的過程。大自然中的複雜行為僅提供了我們在探索數據方面獲得新見解的靈感。《人工智慧入門》是一系列旨在教授人工智慧的書籍,適合那些缺乏廣泛數學背景的讀者。讀者只需要具備基本的大學代數和計算機編程知識,其他相關主題也會詳細解釋。每一章還包含一個編程示例,目前提供的示例是使用Java、C#和Python編寫的,未來還計劃提供其他語言。閱讀本書不需要對生物學有任何了解。前言由戴夫·斯奈爾(Dave Snell)撰寫。