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?"
<ASIN:163343883X>
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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Functional Design (Addison-Wesley)
Author: Robert C. Martin Publisher: Addison-Wesley Date: September 2023 Pages: 384 ISBN: 978-0138176396 Print: 0138176396 Kindle: B0CGHQKGYG Audience: General Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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