Hands-On Artificial Intelligence for Search: Building intelligent applications and perform enterprise searches
暫譯: 實作人工智慧於搜尋:構建智能應用程式與執行企業搜尋
Devangini Patel
- 出版商: Packt Publishing
- 出版日期: 2018-08-31
- 售價: $1,190
- 貴賓價: 9.5 折 $1,131
- 語言: 英文
- 頁數: 124
- 裝訂: Paperback
- ISBN: 1789611156
- ISBN-13: 9781789611151
-
相關分類:
人工智慧
海外代購書籍(需單獨結帳)
商品描述
Make your searches more responsive and smarter by applying Artificial Intelligence to it
Key Features
- Enter the world of Artificial Intelligence with solid concepts and real-world use cases
- Make your applications intelligent using AI in your day-to-day apps and become a smart developer
- Design and implement artificial intelligence in searches
Book Description
With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more.
In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take.
What you will learn
- Understand the instances where searches can be used
- Understand the algorithms that can be used to make decisions more intelligent
- Formulate a problem by specifying its initial state, goal state, and actions
- Translate the concepts of the selected search algorithm into code
- Compare how basic search algorithms will perform for the application
- Implement algorithmic programming using code examples
Who this book is for
This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Table of Contents
- Understanding the Depth-First Search Algorithm
- Understanding the Breadth-First Search Algorithm
- Understanding the Heuristic Search Algorithm
商品描述(中文翻譯)
**讓您的搜尋更具反應性和智慧,透過人工智慧來實現**
#### 主要特點
- 進入人工智慧的世界,掌握堅實的概念和實際的應用案例
- 在日常應用中使用 AI 使您的應用程式更具智慧,成為一名智慧開發者
- 設計和實現搜尋中的人工智慧
#### 書籍描述
隨著大數據和現代技術的出現,人工智慧在許多領域中變得越來越重要。對自動化需求的增加為人工智慧在機器人技術、預測分析、金融等領域產生了許多應用。
在本書中,您將了解什麼是人工智慧。書中詳細解釋了基本搜尋方法:深度優先搜尋 (Depth-First Search, DFS)、廣度優先搜尋 (Breadth-First Search, BFS) 和 A* 搜尋,這些方法可以在已知初始狀態、結束狀態和可能行動的情況下做出智能決策。對於這類問題,可以找到隨機解或貪婪解,但這些解在空間或時間上都不是最佳的,因此將探討在時間和空間上更有效的方法。我們還將了解如何構造問題,這涉及到觀察問題並識別其初始狀態、目標狀態以及每個狀態下可能的行動。我們還需要了解在實現這些搜尋演算法時所涉及的資料結構,因為它們構成了搜尋探索的基礎。最後,我們將探討啟發式 (heuristic) 的概念,因為這決定了某一子解的質量相對於另一子解的優劣,並幫助您決定採取哪一步。
#### 您將學到的內容
- 理解搜尋可以使用的情境
- 理解可以用來使決策更智能的演算法
- 通過指定初始狀態、目標狀態和行動來構造問題
- 將所選搜尋演算法的概念轉換為程式碼
- 比較基本搜尋演算法在應用中的表現
- 使用程式碼範例實現演算法編程
#### 本書適合誰
本書適合希望開始學習人工智慧並開發實用 AI 應用的開發者。那些希望將普通應用升級為智慧和智能版本的開發者會發現本書非常有用。假設讀者具備基本的 Python 知識和理解。
#### 目錄
1. 理解深度優先搜尋演算法
2. 理解廣度優先搜尋演算法
3. 理解啟發式搜尋演算法