Who is the target audience for this book?

The book primarily targets data scientists, machine learning engineers, and software developers interested in building scalable machine learning solutions. Additionally, it can be beneficial for students pursuing studies in data science or AI-related fields. By providing insights into TensorFlow and its capabilities for automation in model building, this book is an essential resource for anyone wanting to deepen their understanding of practical machine learning applications.

What are the key topics covered in the book?

Key topics include a deep dive into TensorFlow, managing data pipelines, designing and automating model training workflows, and strategies for deploying models to production. The book also emphasizes best practices for versioning and monitoring models to ensure optimal performance. Through these comprehensive discussions, readers can gain knowledge about not only the 'how' but also the 'why' behind successful model lifecycle management.

Can this book help someone new to machine learning?

Yes, this book is structured to cater to readers with varying levels of expertise, including beginners. It starts with fundamental concepts and progressively introduces advanced topics. Through its hands-on approach, readers can develop their skills as they learn to construct machine learning pipelines in TensorFlow. By following the practical examples, newcomers can gain confidence in their ability to implement machine learning models effectively.

What practical applications does the book emphasize?

The book emphasizes real-world applications such as developing predictive analytics models, automating data preprocessing, and efficiently managing model deployments in production environments. For instance, organizations looking to implement machine learning solutions for customer segmentation, fraud detection, or recommendation systems can leverage insights from this book. It prepares readers to apply machine learning techniques that can lead to tangible improvements in business processes.

Does the book include code samples?

Yes, the book is rich in practical code samples using TensorFlow, which allows readers to see theoretical concepts applied in practice. These examples are designed to be easily understood and replicated, facilitating a hands-on experience. By working through the code, readers can follow along and reinforce their understanding of how to implement machine learning pipelines effectively in real projects.

How is daily maintenance of a machine learning model addressed?

The book covers maintenance strategies including monitoring model performance over time, retraining models based on new data, and conducting regular evaluations to check for drift. By establishing a routine for model evaluation and updates, practitioners can ensure that their models remain accurate and reliable in a continuously changing environment. This emphasis on maintenance is crucial for organizations that depend on machine learning for critical operational decisions.

Is prior knowledge of TensorFlow required to benefit from this book?

While prior knowledge of TensorFlow is beneficial, it is not strictly necessary to grasp the contents of the book. The author introduces TensorFlow concepts progressively, allowing readers to build their understanding as they read. Beginners can start with foundational chapters before moving on to more advanced material, making the book accessible to a wide audience despite their initial familiarity with TensorFlow.

Are there any exercises or projects included in the book?

Yes, the book features exercises and project ideas designed to reinforce the concepts covered in each chapter. These practical assignments encourage readers to apply what they have learned by working on real-world scenarios, fostering a deeper understanding of machine learning pipelines in action. Completing these exercises can help solidify theoretical knowledge and build confidence in practical implementation.

Building Machine Learning Pipelines: Automating est-il disponible pour effectuer des achats en ligne à Canada ?

Oui, chez Ubuy Canada, ce produit est disponible pour vous à un prix raisonnable.. Le Building Machine Learning Pipelines: Automating n'est pas disponible localement mais vous pouvez nous faire confiance avec nos services d'expédition express.

Combien de temps faut-il pour obtenir le produit après avoir passé la commande ?

Le délai de livraison de votre produit commandé varie en fonction de ce que vous avez commandé et de la méthode d'expédition que vous avez choisie.. Le délai de livraison estimé est mentionné lors du processus de commande, alors soyez insouciant lors de vos achats.

Voir l'original

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Automate a machine learning pipeline using the TensorFlow ecosystem and cut deployment time from days to minutes.

Numéro d'article: 32562830

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Q: What is 'Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow' about?

This book serves as a comprehensive guide to constructing, optimizing, and deploying machine learning pipelines using TensorFlow. It covers foundational concepts and advanced strategies for managing the entire lifecycle of a machine learning model, from data ingestion to model deployment. Readers will learn by engaging with practical examples and detailed workflows, making it ideal for both beginners and experienced practitioners. It's particularly useful for those looking to streamline their ML operations, enhance model performance, and ensure reproducibility in their ML projects.

Q: Where can I buy Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow 1st Edition?

You can purchase 'Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow 1st Edition' on Ubuy. They offer a user-friendly platform to acquire this resource, ensuring a smooth purchasing experience. Ubuy provides a range of features, including detailed product descriptions and customer reviews, helping you make an informed decision.

86% des répondants recommanderaient ceci à un ami

Numéro d'article: 32562830

CAD 106

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

^{*Tous les articles seront importés depuis États-Unis}

Disponibilité : En stock

Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Mardi, Octobre 27

Transaction sécurisée

Nos meilleurs partenaires logistiques

Automate a machine learning pipeline using the TensorFlow ecosystem and cut deployment time from days to minutes.

Garantie U-Care :

Aucun

Sélectionnez un forfait

Achetez maintenant, payez plus tard

Livraison
rapide

Retour
gratuit^*

Emballage sécurisé

Produits 100 % originaux

Conformité PCI DSS

Certifié ISO 27001

Ce qui se démarque

Pipeline Automation

Streamlines the process of developing and deploying machine learning models, reducing manual intervention. This feature improves efficiency and accelerates model iteration cycles to meet business demands swiftly.

TensorFlow Integration

Leverages TensorFlow's robust ecosystem, enhancing scalability and performance. This deep integration allows users to harness powerful tools for data processing, training, and model evaluation.

Comprehensive Guidance

Offers step-by-step instructions and best practices for building machine learning pipelines. This resource is invaluable for both beginners and experienced practitioners looking to optimize their workflows.

Détails du produit

Automate machine learning pipelines using TensorFlow ecosystem
Cut deployment time from days to minutes
Learn techniques to productize data science projects
Utilize components from TensorFlow Extended
Orchestrate pipelines with Apache Beam, Apache Airflow, and Kubeflow Pipelines
Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices

Publisher	O'Reilly Media
Publication date	August 18, 2020
Edition	1st
Language	English
Print length	366 pages
ISBN-10	1492053198
ISBN-13	978-1492053194
Item Weight	2.31 pounds (1.05 kg)
Dimensions	7 x 0.76 x 9.19 inches (17.8 x 1.9 x 23.3 cm)

À qui est-ce destiné ?

Data Scientists
Ideal for data scientists wanting to automate and streamline machine learning workflows using TensorFlow.
AI Developers
Great for AI developers looking to enhance their skills in building robust machine learning pipelines efficiently.
Students & Educators
Beneficial for students and educators seeking a comprehensive resource for understanding machine learning concepts in practice.

Beginners
Not suitable for beginners who lack foundational knowledge of machine learning concepts and TensorFlow.

DESCRIPTION DU PRODUIT

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

question: Comment acheter Building Machine Learning Pipelines: Automating en ligne sur Ubuy ?

répondre: Il est facile d'acheter Building Machine Learning Pipelines: Automating en ligne sur Ubuy.. Il vous suffit de rechercher le produit, de choisir votre mode d'expédition lors du paiement et de le faire livrer à votre emplacement.
question: Building Machine Learning Pipelines: Automating est-il disponible pour effectuer des achats en ligne à Canada ?

répondre: Oui, chez Ubuy Canada, ce produit est disponible pour vous à un prix raisonnable.. Le Building Machine Learning Pipelines: Automating n'est pas disponible localement mais vous pouvez nous faire confiance avec nos services d'expédition express.
question: Combien de temps faut-il pour obtenir le produit après avoir passé la commande ?

répondre: Le délai de livraison de votre produit commandé varie en fonction de ce que vous avez commandé et de la méthode d'expédition que vous avez choisie.. Le délai de livraison estimé est mentionné lors du processus de commande, alors soyez insouciant lors de vos achats.

Machine Theory Editorial Review

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow is a highly recommended book for anyone looking to learn and build ML pipelines that deploy to Kubeflow with TFX. This book strikes a perfect balance between conciseness, precision and practical implementation. The author's explanations are very clear and easily understandable, making it easier for readers to grasp the concepts. However, it is necessary to have some background knowledge in Apache Beam code before delving into it. Although there are some mistakes, it is still an excellent book for introducing readers to building machine learning pipelines.

Avis et évaluations clients

5.0

1 évaluations des clients

5 étoile

100%
4 étoile

0%
3 étoile

0%
2 étoile

0%
1 étoile

0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

Highly recommended for anyone looking to learn and build ML pipelines that deploy to Kubeflow with TFX
Perfect balance between conciseness, precision and practical implementation
Clear and easily understandable explanations

Les inconvénients

Necessary to have some background knowledge in Apache Beam code before delving into it

Historique des prix du produit

Informations importantes

Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

CAD 106

Commandez maintenant et recevez votre commande aux alentours du Mardi, Octobre 27

QTY:

Transaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques

Livraison transfrontalière la plus rapide

Caractéristiques et avantages

Learn techniques and tools to automate the machine learning pipeline using the TensorFlow ecosystem
Cut deployment time from days to minutes, which helps focus on developing new models
Understand the role of data scientists, machine learning engineers, DevOps engineers, and managers in accelerating the projects
Use components from TensorFlow Extended to build the pipeline
Orchestrate the machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines
Analyze model in detail using TensorFlow Model Analysis

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

CAD 106

Achetez maintenant, payez plus tard

Livraison rapide

Retour gratuit*

Emballage sécurisé

Produits 100 % originaux

Conformité PCI DSS

Certifié ISO 27001

Ce qui se démarque

Détails du produit

À qui est-ce destiné ?

DESCRIPTION DU PRODUIT

Questions et réponses des clients

Machine Theory Editorial Review

Avis et évaluations clients

Donnez votre avis sur ce produit

Avantages

Les inconvénients

Historique des prix du produit

Informations importantes

CAD 106

Caractéristiques et avantages

Assurance Ubuy

Livraison
rapide

Retour
gratuit^*