Se original
0 ratings
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
Vare #: 51479271

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

88% af de adspurgte ville anbefale produktet til en ven

Vare #: 51479271

DKK 404

Prisdetaljer

Eksklusive forsendelses- og toldgebyrer ( Forsendelses- og toldgebyrer beregnes ved checkout )

*Alle varer importeres fra US

På lager
US Importeret fra USA butik
Bestil nu og få den omkring Onsdag, September 09
Sikker transaktionSikker transaktion

Ubuy arbejder hårdt for at beskytte din sikkerhed og dit privatliv. Vores avancerede betalingssikkerhedssystem sikrer fortrolighed ved at kryptere dine oplysninger under transmission ved hjælp af AES (Advanced Encryption Standards) og SSL (Secure Socket Layer) protokoller. Dine betalingsoplysninger er 100% sikre, da vi ikke deler dine betalingsoplysninger med tredjepartssælgere.

Vores bedste logistikpartnere
  • fedex
  • dhl
Learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
U-Pleje garanti:
Ingen
Vælg en plan
buy now pay later

Køb nu, betal senere

fast shipping

Hurtig
levering

free return

Gratis
returnering*

Sikker emballering

Sikker emballering

100 % originale produkter'

100 % originale produkter'

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
klarna payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Køb nu.

Hvad der skiller sig ud

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.

Produktdetaljer

Explore the iterative process of building production-ready machine learning applications. Get the 1st Edition now at Ubuy KW, your Danmark 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)

Hvem bør købe?

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.

Produktbeskrivelse

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

Har du spørgsmål? Chat med os

Kundespørgsmål og svar

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

    svar: 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.
  • spørgsmål: Who is the target audience for this book?

    svar: '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.
  • spørgsmål: Does the book cover real-world case studies?

    svar: 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.
  • spørgsmål: What methodologies are discussed in the book?

    svar: 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.
  • spørgsmål: How does this book address challenges in machine learning system design?

    svar: 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.
  • spørgsmål: Is there any accompanying online resource or community for readers?

    svar: 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.
  • spørgsmål: Are there any prerequisites for understanding the content?

    svar: 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.
  • spørgsmål: What makes this book different from other machine learning books?

    svar: 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.
  • spørgsmål: Where can I buy 'Designing Machine Learning Systems' in NG?

    svar: You can purchase 'Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications 1st Edition' at Ubuy, a reliable online retailer in Denmark. 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

The Designing Machine Learning Systems book is a great resource for anyone interested in developing their knowledge of machine learning systems in the practical world. The book gets into all the practical details of handling machine learning systems, including managing data, solving problems, and getting good training data. The book is well-balanced between industry and academia, and it covers a wide variety of topics, making it a must-read for anyone who wants to build a product with machine learning. The author is articulate, and the illustrations are excellent, making the hard concepts more Consumable. However, the book is not focused heavily on machine learning-specific teachings of ML concepts but is great at explaining everything about building an end-to-end ML application.

Kundeanmeldelser & vurderinger

1 kundebedømmelser
  • 5 stjerne
    100%
  • 4 stjerne
    0%
  • 3 stjerne
    0%
  • 2 stjerne
    0%
  • 1 stjerne
    0%

Anmeld dette produkt

Del dine tanker med andre kunder

Fordele

  • Well-balanced between industry and academia
  • Excellent coverage of practical details in handling machine learning systems
  • Great resource for building an ML application and managing data

Ulemper

  • Less focus on proven practical patterns for large-scale machine learning

Platformstillid & Køberens Tillid

trustpilot logo
4.2/5 9250 + anmeldelser
Læs anmeldelser
MA
Mohammad
Verificeret køber

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Verificeret køber

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Verificeret køber

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Verificeret køber

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verificeret køber

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Sikker betaling Global levering Nem returnering Originale produkter

Produktets prishistorik

Vigtig information

  • Begrænsninger: For produkter, der forsendes internationalt, bemærk venligst, at eventuel producentgaranti muligvis ikke er gyldig; producentens serviceordninger er muligvis ikke tilgængelige; produktmanualer, instruktioner og sikkerhedsadvarsler er muligvis ikke på destinationslandets sprog; produkterne (og det medfølgende materiale) er muligvis ikke designet i overensstemmelse med destinationslandets standarder, specifikationer og mærkningskrav; og produkterne opfylder muligvis ikke destinationslandets krav til spænding og andre elektriske standarder (hvilket kan kræve brug af en adapter eller transformer, hvis relevant). Modtageren er ansvarlig for at sikre, at produktet lovligt kan importeres til destinationslandet. Ved bestilling hos Ubuy eller dets datterselskaber er modtageren importøren og skal overholde alle love og regler i destinationslandet.
  • Det er ikke alle de produkter som vises på Ubuy som er til salg, idet Ubuy er en global søgemaskine. Produkterne er underlagt eksport-/handelsregler.

DKK 404

Bestil nu og få den omkring Onsdag, September 09

QTY:

Sikker transaktionSikker transaktion

PCI DSS-kompatibel og ISO 27001:2022-certificeret, med krypteret betaling og fuld køberbeskyttelse på hver ordre

Vores bedste logistikpartnere
  • fedex
  • dhl
Hurtigste grænseoverskridende levering

Egenskaber og fordele

  • 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

Ubuy-garanti

Oplev bekymringsfri shopping med 100 % originale produkter, PCI DSS-kompatibel betalingssikkerhed, ISO 27001-certificeret databeskyttelse, den hurtigste grænseoverskridende levering, gratis returnering* og sikker emballage på hver ordre.