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Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z
A must-have for anyone interested in the intersection of evolutionary computation, machine learning, and data science.
Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z

Item #: 138700970

Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z

Item #: 138700970

TND 924

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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.

Product Details

Shop Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z online at a best price in Tunisia. 387006385121
Fiction/Non-FictionNon-Fiction
Genre/SubjectCOMPUTERS / Data Science / General
BrandNA
StyleNA
Release TitleData-Driven Evolutionary Optimization Integrating Evolutionary
Record GradingNew
Sleeve GradingNew
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SizeNA
Film/TV TitleData-Driven Evolutionary Optimization Integrating Evolutionary
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Binding TypeHardcover
Main StoneNA
Metal PurityNA
MetalNA
ConnectivityNA
ModelNA
ISBN9783030746391
Country of OriginUnited States
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • 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.

  • AI Developers

    Useful for AI developers seeking efficient ways to enhance machine learning models through evolutionary optimization techniques.

Not Suitable For
  • Casual Users

    Not suitable for casual users who lack the technical expertise to utilize advanced data-driven optimization tools effectively.

Product Description

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Customer Questions & Answers

  • Question: What is the condition of the book?

    Answer: The book is in new condition.
  • Question: What topics are covered in the book?

    Answer: The book integrates evolutionary computation, machine learning, and data science.
  • Question: Can I choose a specific edition?

    Answer: Please contact us to verify if a specific edition is available.

na Editorial Review

Jin - Data-Driven Evolutionary Optimization Integrating Evolutionary - X555z is a non-fiction book that delves into the specialized field of data science, emphasizing evolutionary optimization techniques. With a robust hardcover binding and a well-researched approach, this title serves as an essential resource for professionals and academics alike. The text provides insights into integrating evolutionary algorithms, making it ideal for those looking to deepen their understanding of computers and data science. The book's ISBN is 9783030746391, ensuring easy reference for readers seeking comprehensive knowledge in this dynamic realm.

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Pros

  • Thorough exploration of data-driven optimization techniques
  • Hardcover binding ensures durability
  • Ideal for professionals and academics
  • In-depth insights into evolutionary algorithms
  • New publication with fresh perspectives

Cons

  • May not appeal to casual readers unfamiliar with subject

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