Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback)
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback)
Learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback)
vare #: 57403947

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback)

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vare #: 57403947

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Det som utmerker seg

Iterative Approach
Offers a step-by-step guide that emphasizes the iterative nature of developing machine learning systems, ensuring a practical framework for building production-ready applications.
Comprehensive Coverage
Covers a wide array of topics, from initial design to deployment, making it suitable for both beginners and experienced practitioners looking for in-depth knowledge.
Real-World Examples
Includes case studies and real-world applications that illustrate best practices in machine learning, enhancing the reader's ability to apply concepts to their own projects.

Produkt detaljer

Shop Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback) online at a best price in NORGE. 276053840
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJune, 2022
Pages386
Reading levelProfessional and Scholarly
SubgenreData Science
Series titleNo Series
Edition1
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Is collectibleN
EditorVaishali V Phalke, Mohannad Ibrahim, Douglas J Quint, Hemant Parmar, Gaurang Shah, Sachin Gujar
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.90 x 0.70 x 9.10 in (17.5 x 1.8 x 23.1 cm)
Assembled product weight1.35 lb (610 grams)
Bisac subject headingComputers

Hvem passer produktet for?

Suitable For
  • Aspiring Data Scientists

    Provides foundational knowledge and practical steps to develop machine learning applications effectively.

  • Tech Professionals

    Ideal for software engineers seeking to incorporate machine learning into existing systems in a structured manner.

  • Project Managers

    Useful for overseeing machine learning projects with a strong focus on iterative improvement and production readiness.

Not Suitable For
  • Beginners in ML

    May be too advanced for those without prior knowledge of machine learning or programming concepts.

PRODUKTBESKRIVELSE

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, (Paperback)

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  • Spørsmål: Hvordan handle Designing Machine Learning Systems: An Iterative online fra Ubuy?

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  • Spørsmål: Er Designing Machine Learning Systems: An Iterative tilgjengelig for nettbutikk i Norway?

    Svar: Ja, hos Ubuy Norway er dette produktet tilgjengelig for deg å handle til en rimelig pris.. Designing Machine Learning Systems: An Iterative er ikke tilgjengelig lokalt, men du kan stole på oss med våre ekspressfrakttjenester.
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Chip Huyen All Books Editorial Review

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications is a comprehensive paperback guide published by O'Reilly Media in June 2022. With 386 pages dedicated to the field of computing and internet, this non-fiction resource is ideal for professionals and scholars interested in data science. The editors, including experts such as Vaishali V Phalke and Mohannad Ibrahim, ensure that the content is both authoritative and practical. This book focuses on the iterative process essential for designing robust machine learning systems, making it a vital read for anyone looking to enhance their skills in this rapidly evolving field.

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Fordeler

  • Ideal for professionals and scholars in data science
  • Comprehensive coverage of machine learning design
  • Contributions from multiple expert editors
  • Focused on production-ready applications
  • Clear and structured iterative process

Ulemper

  • May not suit casual readers or beginners

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Funksjoner og fordeler

  • Discover a comprehensive framework for designing machine learning systems.
  • Focus on reliability, scalability, and adaptability to meet business needs.
  • Learn to process and create effective training data.
  • Automate model development, evaluation, and deployment processes.
  • Implement effective monitoring systems for production environments.
  • Address unique challenges in machine learning with real case studies.

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