Hands-On Artificial Intelligence for Search : Building Intelligent Applications and Perform Enterprise Searches /
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. Rando...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
MARC
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| 100 | 1 | |a Patel, Devangini. | |
| 245 | 1 | 0 | |a Hands-On Artificial Intelligence for Search : |b Building Intelligent Applications and Perform Enterprise Searches / |c Devangini Patel. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
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| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Understanding the Depth-First Search Algorithm; Installing and setting up libraries; Setting up Python; Setting up Graphviz; Installing pip; Introduction to file searching applications; Basic search concepts; Formulating the search problem; Building trees with nodes; Stack data structure; The DFS algorithm; Recursive DFS; Do it yourself; Summary; Chapter 2: Understanding the Breadth-First Search Algorithm; Understanding the LinkedIn connection feature; Graph data structure. | |
| 505 | 8 | |a Queue data structureThe BFS algorithm; BFS versus DFS; Order of traversal; Data structures; Memory; Optimal solution; Do it yourself; Summary; Chapter 3: Understanding the Heuristic Search Algorithm; Revisiting the navigation application; The priority queue data structure; Visualizing a search tree; Greedy BFS; A* Search; What is a good heuristic function? ; Properties of a good heuristic function; Admissible; Consistent; Summary; Other Books You May Enjoy; Index. | |
| 520 | |a 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 ... | ||
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