Best First Search: Fundamentals and Applications

· Artificial Intelligence Buch 114 · One Billion Knowledgeable · Mit KI erstellt und vorgelesen von Mason (von Google)
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What Is Best First Search


The best-first search is an example of a class of search algorithms that investigates a graph by extending the node that seems to hold the most potential in accordance with a predetermined rule.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Best-First Search


Chapter 2: Heuristic in Computer Science


Chapter 3: A* Search Algorithm


Chapter 4: Graph Traversal


Chapter 5: Pathfinding


Chapter 6: Dijkstra's Algorithm


Chapter 7: Greedy Algorithm


Chapter 8: Bidirectional Search


Chapter 9: Beam Search


Chapter 10: Real-Time Web


(II) Answering the public top questions about best first search.


(III) Real world examples for the usage of best first search in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of best first search' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of best first search.

Autoren-Profil

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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