Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms (Paperback)
暫譯: 人類的人工智慧,第1卷:基本演算法 (平裝本)

Jeff Heaton

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商品描述

A great building requires a strong foundation. This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

商品描述(中文翻譯)

一座偉大的建築需要堅固的基礎。本書教授基本的人工智慧(Artificial Intelligence)演算法,如維度(dimensionality)、距離度量(distance metrics)、聚類(clustering)、誤差計算(error calculation)、爬山演算法(hill climbing)、Nelder Mead 演算法以及線性回歸(linear regression)。這些不僅是本系列的基礎演算法,還在其自身的應用中非常有用。本書使用實際的數值計算來解釋所有演算法,讀者可以自己進行計算。《人工智慧為人類》(Artificial Intelligence for Humans)是一個旨在教導沒有廣泛數學背景的讀者學習人工智慧的書籍系列。讀者只需具備基本的大學代數或程式設計知識——任何比這更複雜的內容都會詳細解釋。每一章節還包括一個程式範例。目前提供的範例語言有 Java、C#、R、Python 和 C,未來還計劃增加其他語言。