Using AI to Transform Search [Video]

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Using AI to Transform Search [Video]

Devangini Patel

Make your searches more responsive and smarter by applying Artificial Intelligence to it
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Video Details

ISBN 139781787289376
Course Length1 hour 57 minutes

Video 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 course, you will understand what artificial intelligence is. It explains in detail basic search methods: DFS (Depth First Search), BFS (Breadth First Search), 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.

Style and Approach

This friendly course takes you through the different Search Methods. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite size chunks so you can learn at your own pace and focus on the areas of most interest to you.

Table of Contents

Shortest Time Search (Depth First Search)
The Course Overview
Installation and Setup
Introduction to File Search Application
Search Problem Formulation
Building Search Tree with Nodes
Stack Data Structure
DFS Algorithm
Recursive DFS
Do It Yourself
Shortest Path Search (Breadth First Search)
Introduction to LinkedIn Connection Feature
Graph Data Structure
Queue Data Structure
BFS Algorithm
DFS Versus BFS
Do It Yourself
Heuristic Search
Revisiting Navigation Application
Priority Queue Data Structure
Visualizing Search Tree
Greedy Best First Search Algorithm
A* Search
What Is a Good Heuristic?

What You Will Learn

  • Where searches can be used
  • Understand the algorithms that can be used to make decisions more intelligent
  • Formulate a problem, that is, specify 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

Authors

Table of Contents

Shortest Time Search (Depth First Search)
The Course Overview
Installation and Setup
Introduction to File Search Application
Search Problem Formulation
Building Search Tree with Nodes
Stack Data Structure
DFS Algorithm
Recursive DFS
Do It Yourself
Shortest Path Search (Breadth First Search)
Introduction to LinkedIn Connection Feature
Graph Data Structure
Queue Data Structure
BFS Algorithm
DFS Versus BFS
Do It Yourself
Heuristic Search
Revisiting Navigation Application
Priority Queue Data Structure
Visualizing Search Tree
Greedy Best First Search Algorithm
A* Search
What Is a Good Heuristic?

Video Details

ISBN 139781787289376
Course Length1 hour 57 minutes
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