Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
genuine image
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Articol nr.: 51479271

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

90% din respondenți l-ar recomanda unui prieten

Articol nr.: 51479271

RON 270

Detalii preț

Excluzând taxele de transport și vamale ( Taxele de transport și vamale vor fi calculate la finalizarea comenzii )

*Toate articolele vor fi importate din SUA

În stoc
SUA Importat din USA
Comandați acum și primiți Vineri, Septembrie 11
Tranzacție securizatăTranzacție securizată

Ubuy depune eforturi pentru a vă proteja securitatea și confidențialitatea. Sistemul nostru avansat de securitate a plăților asigură confidențialitatea prin criptarea informațiilor dvs. în timpul transmisiei folosind protocoalele AES (Advanced Encryption Standards) și SSL (Secure Socket Layer). Detaliile dvs. de plată sunt 100% sigure, deoarece nu partajăm datele dvs. de plată cu vânzători terți.

Partenerii noștri principali de logistică
  • fedex
  • dhl
Learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Garanție U-Care:
Niciunul
Selectați un plan
fast shipping

Fast
Shipping

free return

Retur
gratuit*

Ambalaj sigur

Ambalaj sigur

Produse originale 100%

Produse originale 100%

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of SUA store (110-120). Recommended power converters Cumpărați Acum.

Ce Iese în evidență

Iterative Approach
Emphasizes an iterative process that allows developers to refine machine learning models continuously, ensuring more robust and scalable applications suitable for production environments.
Practical Guidance
Offers step-by-step guidance and real-world scenarios that help practitioners effectively apply machine learning principles, bridging the gap between theory and practical implementation.
Comprehensive Coverage
Covers a wide range of topics in machine learning system design, making it a valuable resource for both novices and experienced professionals looking to enhance their skill set.

Detalii produs

Explore the iterative process of building production-ready machine learning applications. Get the 1st Edition now at Ubuy KW, your România for all your shopping needs.
  • Provides a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements
  • Addresses scenarios such as engineering data, automating model development, developing a monitoring system, architecting an ML platform, and developing responsible ML systems
  • Geared towards ML engineers, data scientists, data engineers, ML platform engineers, and engineering managers
  • Not an introduction to ML, assumes readers have a basic understanding of ML models, techniques, metrics, statistical concepts, and common ML tasks
  • Intended for individuals wanting to leverage ML to solve real-world problems, including technical and business leaders considering adopting ML solutions
  • Includes ample case studies and references, not a tutorial book with extensive code snippets
Publisher O'Reilly Media
Publication date June 21, 2022
Edition 1st
Language English
Print length 386 pages
ISBN-10 1098107969
ISBN-13 978-1098107963
Item Weight 1.4 pounds (640 grams)
Dimensions 6.9 x 0.7 x 9.1 inches (17.5 x 1.8 x 23.1 cm)

Cine Ar Trebui să Cumpere?

Suitable For
  • Data Scientists

    Ideal for data scientists seeking practical frameworks for developing and deploying scalable machine learning systems effectively.

  • Software Engineers

    Provides software engineers with guidelines for integrating machine learning into existing applications and enhancing production readiness.

  • Project Managers

    Useful for project managers overseeing machine learning projects, ensuring alignment between development and operational goals.

Not Suitable For
  • Complete Beginners

    Not suitable for total newcomers; prior knowledge of machine learning principles is necessary to grasp the content.

DESCRIEREA PRODUSULUI

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Aveți întrebări? Discutați cu noi

Întrebări și răspunsuri ale clienților

  • Întrebare: What is the main focus of 'Designing Machine Learning Systems'?

    Răspuns: The main focus of 'Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications' is to guide practitioners through the iterative processes required to build effective machine learning systems. It delves into the methodologies for designing, developing, and deploying systems that are not only robust but also scalable. This book emphasizes understanding user needs and iterating based on feedback, making it integral for those looking to implement practical machine learning solutions in various fields, such as finance, healthcare, or retail.
  • Întrebare: Who is the target audience for this book?

    Răspuns: 'Designing Machine Learning Systems' is primarily aimed at software engineers, data scientists, and machine learning practitioners who seek practical guidance on building production-ready systems. Additionally, it appeals to product managers and decision-makers who want to comprehend the iterative design process. The book serves as an essential resource for anyone involved in delivering AI-driven solutions, ensuring they can navigate the complexities of machine learning methodologies effectively.
  • Întrebare: Does the book cover real-world case studies?

    Răspuns: Yes, the book incorporates various real-world case studies to illustrate the concepts discussed. These examples demonstrate how the iterative process can be applied to actual machine learning projects, including challenges faced and solutions implemented. By studying these cases, readers can gain valuable insights into best practices and common pitfalls, which can help them implement similar strategies in their own projects across industries such as e-commerce and healthcare.
  • Întrebare: What methodologies are discussed in the book?

    Răspuns: The book discusses several methodologies including agile development, user-centered design, and model prototyping. Each methodology is presented in the context of machine learning, focusing on how they can be utilized to enhance system design and user experience. By understanding these methodologies, practitioners can better manage project timelines and improve collaboration among team members in dynamic environments, leading to more effective and user-oriented machine learning systems.
  • Întrebare: How does this book address challenges in machine learning system design?

    Răspuns: This book addresses challenges in machine learning system design by focusing on common pitfalls and providing targeted solutions. It highlights the importance of validation, data management, and feedback loops in overcoming these challenges. Readers will learn about iterative testing and refinement strategies that can be applied to tackle issues such as model drift or data quality, ensuring that their systems remain effective and reliable in production environments.
  • Întrebare: Is there any accompanying online resource or community for readers?

    Răspuns: Yes, many readers have access to online resources and communities related to the book. These platforms often include discussion forums, supplementary materials, and practical exercises. Engaging with these resources not only enhances the learning experience but also allows readers to connect with like-minded individuals. This collaborative learning approach fosters an environment where they can share insights and challenges faced while applying the concepts from the book in real-world scenarios.
  • Întrebare: Are there any prerequisites for understanding the content?

    Răspuns: While it's beneficial to have a basic understanding of machine learning concepts, the book is structured to cater to both novices and experienced practitioners. Readers should ideally be familiar with programming and statistical principles, but the content gradually builds up, ensuring that those with varying levels of expertise can grasp key ideas. This inclusivity makes it an excellent resource for teams looking to upskill or for individuals aiming to enter the field of machine learning.
  • Întrebare: What makes this book different from other machine learning books?

    Răspuns: What sets 'Designing Machine Learning Systems' apart from other machine learning books is its strong emphasis on the iterative process and practical application in real-world scenarios. Rather than focusing solely on theory, it combines theoretical principles with actionable steps, making it easier for readers to implement the strategies in their projects. This pragmatic approach ensures that the reader not only learns about machine learning but is also equipped with the tools needed for successful application.
  • Întrebare: Where can I buy 'Designing Machine Learning Systems' in NG?

    Răspuns: You can purchase 'Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications 1st Edition' at Ubuy, a reliable online retailer in Romania. Ubuy offers a user-friendly platform that allows you to browse, order, and have the book delivered to your doorstep. With Ubuy, you are guaranteed a smooth shopping experience with secure payment options and efficient customer support, ensuring you can easily access this essential resource for your machine learning journey.

Intelligence & Semantics Editorial Review

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications is authored by Chip Huyen and published by O'Reilly Media. This book serves as an essential guide for practitioners aiming to transition machine learning from research to real-world applications. Its focus on iterative processes, along with a clear writing style, allows readers to grasp complex concepts surrounding data-centric AI, model deployment, and monitoring efficiently. Featuring real-world case studies and practical examples, Huyen provides insights into productionizing ML systems that are valuable for engineers, researchers, and data scientists alike. The structured approach makes this resource particularly beneficial for those mentoring others in the field.

Recenziile și evaluările clienților

1 evaluări ale clienților
  • 5 stele
    100%
  • 4 stele
    0%
  • 3 stele
    0%
  • 2 stele
    0%
  • 1 stele
    0%

Faceți o recenzie pentru acest produs

Împărtășiți-vă părerea cu alți clienți

Pro

  • Comprehensive overview of machine learning implementation
  • Clear explanations of complex concepts
  • Real-world case studies make learning relatable
  • Great resource for mentoring undergrad students
  • Structured for both practitioners and leaders

Contra

  • Some topics may not delve deeply into details

ÎNCREDERE ÎN PLATFORMĂ ȘI SIGURANȚA CUMPĂRĂTORULUI

trustpilot logo
4.2/5 9300 + recenzii
Citește recenziile
JG
Jazz
Cumpărător verificat

“Easy to use and always helpful and sorts any issues I've had past and present”

1 September 2026 · via Trustpilot
EK
Emmanuel
Cumpărător verificat

“I always receive support when I engage customer service. Overall my experience with UBUY has been top notch. Keep up the good work.”

31 August 2026 · via Trustpilot
F
fnd
Cumpărător verificat

“The delivery was fast and the product came undamaged and authentic.”

29 August 2026 · via Trustpilot
LC
Leana
Cumpărător verificat

“Ubuy is extremely efficient and to order online is an easy process. The verity of products to buy is really unlimited! My order was urgent and I got it on time. The products are great! Thank you Ubuy!”

25 August 2026 · via Trustpilot
HL
Hengo
Cumpărător verificat

“Fast, convenient and cheap. Great store!”

27 August 2026 · via Trustpilot
Checkout securizat Livrare internațională Returnări ușoare Produse originale

Istoricul prețului produsului

Important

  • Limitări: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
  • Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.

RON 270

Comandați acum și primiți Vineri, Septembrie 11

Cant.:

Tranzacție securizatăTranzacție securizată

Conform PCI DSS și certificat ISO 27001:2022, cu plăți criptate și protecție completă a cumpărătorului la fiecare comandă.

Partenerii noștri principali de logistică
  • fedex
  • dhl
Cea mai rapidă livrare internațională

Caracteristici și avantaje

  • Design ML systems that are reliable and adaptable
  • Learn to process and create training data
  • Automate the process for continually developing, evaluating, deploying, and updating models
  • Develop a monitoring system to detect and address production issues
  • Architect an ML platform that serves across use cases
  • Develop responsible ML systems

Asigurare Ubuy

Bucură-te de o experiență de cumpărare fără griji, cu produse 100% originale, securitate a plăților conformă cu standardul PCI DSS, protecție a datelor certificată ISO 27001, cea mai rapidă livrare internațională, retururi gratuite și ambalare securizată pentru fiecare comandă.*