Optimization Algorithms (Manning)
Monday, 21 October 2024

This book introduces AI algorithms designed to solve complex and poorly-structured problems such as "What’s the fastest route from one place to another?" "How do you calculate the optimal price for a product?" and "How should you plant crops, allocate resources, and schedule surgeries?" 

Dr. Alaa Khamis uses case studies to introduce a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods without complex mathematical notation.

Author: Dr. Alaa Khamis
Publisher: Manning
Date: September 2024
Pages: 536
ISBN: 978-1633438835
Print: 163343883X
Kindle: B0DCG7MN9P
Audience: General
Level: Intermediate
Category: Artificial Intelligence

optalg

Topics include:

  • The core concepts of search and optimization
  • Deterministic and stochastic optimization techniques
  • Graph search algorithms
  • Trajectory-based optimization algorithms
  • Evolutionary computing algorithms
  • Swarm intelligence algorithms
  • Machine learning methods for search and optimization problems
  • Efficient trade-offs between search space exploration and exploitation
  • State-of-the-art Python libraries for search and optimization

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Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
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Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.


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