Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow Paperback
Learn the techniques and tools that will cut deployment time from days to minutes
Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow Paperback
Item #: 35121987

Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow Paperback

Item #: 35121987

XAF 45904

Price Details

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

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Tuesday, July 07
Our Top Logistics Partners
  • fedex
  • dhl
Learn the techniques and tools that will cut deployment time from days to minutes
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

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 US store (110-120). Recommended power converters Buy Now.

What Stands Out

Comprehensive Guidance
Offers in-depth tutorials on automating the machine learning lifecycle, making it accessible for both beginners and experienced practitioners seeking to enhance their workflows.
Hands-On Projects
Includes practical projects that demonstrate real-world applications of TensorFlow, fostering hands-on learning and improving retention of complex concepts essential for mastering ML pipelines.
Expert Insights
Features contributions from industry experts, providing invaluable insights and best practices that help users avoid common pitfalls and enhance their machine learning implementations.

Product Details

Discover the best guide to automate your model life cycles with Tensorflow. Get the paperback edition of Building Machine Learning Pipelines by Hannes Hapke and Catherine Nelson. Order now online at Ubuy Equatorial Guinea.
  • Automate machine learning pipeline using TensorFlow ecosystem
  • Cut deployment time from days to minutes
  • Utilize components from TensorFlow Extended, Apache Beam, Airflow, and Kubeflow Pipelines
  • Work with data using TensorFlow Data Validation and Transform
  • Analyze model in detail with TensorFlow Model Analysis, examine fairness and bias
  • Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices, learn privacy-preserving techniques
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Pub date2020-08-04
Pages364
Reading levelProfessional & Vocational
SubgenreComputers
Edition1st Edition
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Binding typePerfect Binding
Assembled product height9.19 in (23.3 cm)
Assembled product weight1.28 lb (580 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists seeking to automate and streamline machine learning model workflows using TensorFlow effectively.

  • Machine Learning Engineers

    Great resource for ML engineers focused on implementing robust pipelines and managing model life cycles efficiently.

  • Students and Learners

    Beneficial for students eager to understand the practical application of TensorFlow in building machine learning pipelines.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals without prior knowledge of machine learning concepts or programming skills.

  • Casual Readers

    May not engage casual readers looking for non-technical literature or general overviews in machine learning.

  • Business Executives

    Less useful for executives seeking high-level strategies rather than technical insights on model development.

Product Description

Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow Paperback

Have any Query? Chat with us

Customer Questions & Answers

  • Question: Who will benefit from this book?

    Answer: Data scientists, machine learning engineers, and DevOps engineers
  • Question: What are some of the topics covered in the book?

    Answer: Machine learning management lifecycle, data pipelines, model analysis, fairness and bias in model performance, privacy-preserving machine learning techniques
  • Question: What tools can be used for orchestration?

    Answer: Apache Beam, Apache Airflow, and Kubeflow Pipelines

Hannes Hapke; Catherine Nelson All Books Editorial Review

No editorial reviews found

Customer Reviews & Ratings

5.0
1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Comprehensive guide on ML pipelines
  • Practical examples and projects
  • Clear explanations for beginners
  • Great for automating processes
  • Up-to-date information on TensorFlow

Cons

  • Some minor typographical errors.

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.