Using AI to Transform Search [Video]
This is the code repository for Using AI to Transform Search [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
About the Video Course
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.
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
Instructions and Navigation
Assumed Knowledge
To fully benefit from the coverage included in this course, you will need:
Basic knowledge and understanding of Python
Technical Requirements
This course has the following software requirements:
Python