This is the code repository for Hands-On Artificial Intelligence for Search, published by Packt.

Building intelligent applications and perform enterprise searches

In this book you will understand what is artificial intelligence. 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 initial state, end state and possible actions are known. Random solutions or greedy solutions can be found for such problems.

This book covers the following exciting features:

• 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

If you feel this book is for you, get your copy today!

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

def checkGoalState(self):
        """
        This method checks whether the person is Jill.
        """ 
        #check if the person's name is Jill
        return self.name == "Jill"

Following is what you need for this book: 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.

With the following software and hardware list you can run all code files present in the book (Chapter 1-3).

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

• Artificial Intelligence for Big Data [Packt] [Amazon]

• Artificial Intelligence By Example [Packt] [Amazon]

Devangini Patel is a PhD student at the National University of Singapore, Singapore. Her research interests include deep learning, computer vision, machine learning, and artificial intelligence. She has completed a master's in artificial intelligence at the University of Southampton, UK. She has over 5 years, experience in the field of AI and has worked on various industrial and research projects in AI, including facial expression analysis, robotics, virtual try-on, object recognition and detection, and advertisement ranking.

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