Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
|
Buy Now
Building Machine Learning Pipelines - Automating Model Life Cycles with Tensorflow (Paperback)
Loot Price: R1,091
Discovery Miles 10 910
You Save: R337 (24%)
|
|
Building Machine Learning Pipelines - Automating Model Life Cycles with Tensorflow (Paperback)
Expected to ship within 7 - 11 working days
|
Companies are spending billions on machine learning projects, but
it's money wasted if the models can't be deployed effectively. In
this practical guide, Hannes Hapke and Catherine Nelson walk you
through the steps of automating a machine learning pipeline using
the TensorFlow ecosystem. You'll learn the techniques and tools
that will cut deployment time from days to minutes, so that you can
focus on developing new models rather than maintaining legacy
systems. Data scientists, machine learning engineers, and DevOps
engineers will discover how to go beyond model development to
successfully productize their data science projects, while managers
will better understand the role they play in helping to accelerate
these projects. Understand the steps to build a machine learning
pipeline Build your pipeline using components from TensorFlow
Extended Orchestrate your machine learning pipeline with Apache
Beam, Apache Airflow, and Kubeflow Pipelines Work with data using
TensorFlow Data Validation and TensorFlow Transform Analyze a model
in detail using TensorFlow Model Analysis Examine fairness and bias
in your model performance Deploy models with TensorFlow Serving or
TensorFlow Lite for mobile devices Learn privacy-preserving machine
learning techniques
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.