Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
genuine image
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments.
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Artikelnr.: 45099508

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

Artikelnr.: 45099508

AWG 108

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from VS

Uitverkocht
VS Geïmporteerd uit USA
Beveiligde transactieBeveiligde transactie

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Onze beste bezorgdiensten
  • fedex
  • dhl
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments.
Search for similar products
U-Care-garantie:
Geen
Selecteer een abonnement
fast shipping

Spoedbestelling

free return

Gratis
retourneren*

Stevig verpakt

Stevig verpakt

100% Origineel product

100% Origineel product

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment

Productdetails

Learn how to manage the production life cycle of machine learning models using MLOps techniques. Get practical examples and master Python! Shop at Ubuy Aruba
Item Weight2 lbs (910 grams)

PRODUCTBESCHRIJVING

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

Heeft u een vraag? Chat met ons

Vragen & Antwoorden van klanten

  • vraag: Who is the target audience for this book?

    antwoord: This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. Intermediate-level knowledge of Python is necessary.
  • vraag: What will I learn from this book?

    antwoord: You will learn how to build scalable and robust solutions that can serve your machine learning models in production environments, including hyperparameter optimization, model management, building ML libraries and packages, exploring ML engineering patterns, toolsets for training and deployment, and using cloud-based tools.
  • vraag: Does the book include practical examples?

    antwoord: Yes, the book includes practical illustrations and examples to help you solve typical business problems.

Computer Science Editorial Review

**** "Machine Learning Engineering with Python" emerges as a pivotal resource for intermediate data scientists and ML engineers seeking a deeper understanding of machine learning implementation in real-world scenarios. Unlike many books that concentrate on theoretical models or isolated ML frameworks, this guide emphasizes practical applications and essential MLops tools that enhance the ability to train, deploy, serve, and iterate on models effectively. The author successfully addresses a significant gap in the understanding of implementation techniques by integrating multiple real-time and batch example scenarios. These practical illustrations not only elucidate critical areas such as versioning, model retraining due to data drift, and automation of hyperparameters, but also dive into deployment and scaling methodologies—particularly noteworthy in chapters on deployment patterns and scaling strategies. Readers have found value in the clarity of explanations, visual aids like diagrams, and organized breakdowns of complex concepts, making it easier to absorb information. Furthermore, the book's repository, offering example datasets and code in Python notebooks, has been a highlight for many, facilitating hands-on learning and practical application. However, some critiques have surfaced regarding the book's focus on AWS for deployment, potentially alienating users of Azure or Google Cloud. Additionally, the end-to-end examples presented may not fully encapsulate the detailed coding necessary for newcomers, suggesting an area for improvement for future editions. Overall, the book serves as an excellent guide into the practical aspects of machine learning engineering, making it a compelling read for professionals eager to enhance their skillset and implement ML solutions in their organizations effectively. **

Klantbeoordelingen en -waardering

5.0
1 klantenbeoordelingen
  • 5 ster
    100%
  • 4 ster
    0%
  • 3 ster
    0%
  • 2 ster
    0%
  • 1 ster
    0%

Beoordeel dit product

Deel uw mening met andere klanten

Voordelen

  • Comprehensive coverage of MLops tools and real-world applications.
  • Good balance of theory and practical exercises, especially for intermediate users.
  • Clear and detailed explanations of deployment patterns and scaling strategies.
  • Helpful visual aids enhance understanding.
  • Useful repositories with datasets and code examples.

Nadelen

  • Limited focus on cloud platforms other than AWS might exclude some readers.

Prijs-/productgeschiedenis

Belangrijke informatie

  • Beperkingen: voor producten die internationaal worden verzonden, gelieve er rekening mee te houden dat eventuele fabrieksgaranties mogelijk niet geldig zijn; ondersteuningsopties van de fabrikant zijn mogelijk niet beschikbaar; producthandleidingen, instructies en veiligheidswaarschuwingen zijn mogelijk niet in de taal van het land van bestemming; de producten (en bijbehorende materialen) zijn mogelijk niet ontworpen in overeenstemming met de normen, specificaties en etiketteringsvereisten van het land van bestemming; en de producten zijn mogelijk niet in overeenstemming met de voltage- en andere elektriciteitsstandaarden van het land van bestemming (waardoor het gebruik van een adapter of omvormer nodig is, indien van toepassing). De ontvanger is ervoor verantwoordelijk zich ervan te verzekeren dat het product rechtmatig kan worden geïmporteerd naar het land van bestemming. Bij het bestellen bij Ubuy of diens partners geldt de ontvanger als de geregistreerde invoerder en dient zich als zodanig te houden aan alle wetten en voorschriften van het land van bestemming.
  • Omdat Ubuy een wereldwijde zoekmachine is, zijn niet alle producten die op Ubuy worden vermeld ook te koop. Producten zijn onderworpen aan wetgeving inzake export en handel.

AWG 108

Momenteel niet verkrijgbaar.

Het is onduidelijk of we dit artikel in de toekomst kunnen leveren.

Beveiligde transactieBeveiligde transactie

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Onze beste bezorgdiensten
  • fedex
  • dhl
Snelste wereldwijde bezorging

Kenmerken en voordelen

  • Learn hyperparameter optimization and model management tools
  • Build your own ML libraries and packages in Python
  • Explore ML engineering patterns
  • Create toolsets for training and deployment
  • Work with deployment architectures and cloud-based tools
  • Solve typical business problems with examples