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Hands-On Artificial Intelligence for Search

More Information
Learn
  • 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
About

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.

Features
  • Enter the world of Artificial Intelligence with solid concepts and real-world use cases
  • Make your applications intelligent using AI in your day-to-day apps and become a smart developer
  • Design and implement artificial intelligence in searches
Page Count 124
Course Length 3 hours 43 minutes
ISBN9781789611151
Date Of Publication 29 Aug 2018

Authors

Devangini Patel

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.