August 2018
Intermediate to advanced
124 pages
2h 47m
English
Overview
This book, "Hands-On Artificial Intelligence for Search," is your guide to understanding foundational search algorithms in artificial intelligence such as Depth-First Search (DFS), Breadth-First Search (BFS), and heuristic-based approaches. You'll learn how to implement these methods in Python to solve real-world problems and make informed intelligent decisions based on algorithmic frameworks.
What this Book will help me do
- Gain a strong understanding of search algorithms such as DFS, BFS, and A* Search.
- Learn how to formulate problems suitable for search-based AI solutions.
- Develop the ability to write efficient code implementing search techniques in Python.
- Understand heuristic functions and how they influence search optimization.
- Compare and analyze the performance of different search strategies in practice.
Author(s)
The author, None Patel, is an experienced software developer and educator specializing in artificial intelligence and algorithmic programming. Leveraging years of experience in building intelligent systems, they present concepts in a hands-on manner, making this book accessible to AI enthusiasts and developers alike. Their approachable teaching style simplifies complex ideas, empowering readers to confidently apply AI concepts.
Who is it for?
The book is suited for developers eager to integrate AI capabilities into their projects and for those keen on transitioning from conventional programming to solutions powered by AI. Some basic familiarity with Python is assumed, but the book is beginner-friendly in introducing AI concepts. Readers aiming to make their applications smarter and more efficient will find this book particularly useful.
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