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138700970
Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z
товар №:
138700970
KZT 147169
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Импортировано из магазина USA
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A must-have for anyone interested in the intersection of evolutionary computation, machine learning, and data science.
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What Stands Out
Data-Driven Insights
Utilizing advanced data analytics, Jin delivers actionable insights that refine optimization processes, increasing efficiency and effectiveness beyond traditional methods.
Evolutionary Algorithms
Jin's integration of evolutionary algorithms allows for adaptive problem-solving, making it highly effective for complex challenges in various domains, standing out from competitors.
User-Friendly Interface
Designed with usability in mind, Jin ensures that both novices and experts can navigate its features easily, promoting adoption and maximizing user productivity.
Информация о продукте
| Fiction/Non-Fiction | Non-Fiction |
| Genre/Subject | COMPUTERS / Data Science / General |
| Brand | NA |
| Style | NA |
| Release Title | Data-Driven Evolutionary Optimization Integrating Evolutionary |
| Record Grading | New |
| Sleeve Grading | New |
| Platform | NA |
| Size | NA |
| Film/TV Title | Data-Driven Evolutionary Optimization Integrating Evolutionary |
| Colour | NA |
| Material | NA |
| Department | NA |
| Binding Type | Hardcover |
| Main Stone | NA |
| Metal Purity | NA |
| Metal | NA |
| Connectivity | NA |
| Model | NA |
| ISBN | 9783030746391 |
| Country of Origin | United States |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to implement advanced evolutionary algorithms for optimizing complex datasets and models.
-
Research Institutions
Perfect for research institutions engaged in computational studies that require innovative optimization methodologies for their projects.
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AI Developers
Useful for AI developers seeking efficient ways to enhance machine learning models through evolutionary optimization techniques.
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Casual Users
Not suitable for casual users who lack the technical expertise to utilize advanced data-driven optimization tools effectively.
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отвечать: The book is in new condition. -
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отвечать: The book integrates evolutionary computation, machine learning, and data science. -
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отвечать: Please contact us to verify if a specific edition is available.
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KZT 147169
Закажите сейчас и получите товар приблизительно Вторник, Сентябрь 08
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Особенности и преимущества
- Hardcover edition with 420 pages of insightful content.
- Authored by experts Jin, Yaochu, Wang, Handing, and Sun, Chaoli.
- Focuses on the integration of multiple cutting-edge technologies.
- Perfect for students, professionals, and tech enthusiasts alike.
- Ideal gift idea for Christmas and special occasions.
- Stock images used; actual item may vary slightly based on edition.
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