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Hands-On Artificial Intelligence for Search

By : Patel

4 (1)

Hands-On Artificial Intelligence for Search

4 (1)

By: Patel

Overview of this book

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.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Understanding the Depth-First Search Algorithm

Understanding the Depth-First Search Algorithm

Installing and setting up libraries

Introduction to file searching applications

Basic search concepts

Formulating the search problem

Building trees with nodes

Stack data structure

The DFS algorithm

Do it yourself

Summary

Understanding the Breadth-First Search Algorithm

Understanding the Breadth-First Search Algorithm

Understanding the LinkedIn connection feature

Graph data structure

Queue data structure

The BFS algorithm

BFS versus DFS

Do it yourself

Summary

Understanding the Heuristic Search Algorithm

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?

Summary

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