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

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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Deep Learning (No Starch Press)
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 A book on deep learning wtihout an equation in sight?
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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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