Machine learning applications autonomously reason about data at
massive scale. It's important that they remain responsive in the
face of failure and changes in load. But machine learning systems
are different than other applications when it comes to testing,
building, deploying, and monitoring. Reactive Machine Learning
Systems teaches readers how to implement reactive design solutions
in their machine learning systems to make them as reliable as a
well-built web app. Using Scala and powerful frameworks such as
Spark, MLlib, and Akka, they'll learn to quickly and reliably move
from a single machine to a massive cluster. Key Features: *
Example-rich guide * Step-by-step guide * Move from single-machine
to massive cluster Readers should have intermediate skills in Java
or Scala. No previous machine learning experience is required.
About the Technology: Machine learning systems are different than
other applications when it comes to testing, building, deploying,
and monitoring. To make machine learning systems reactive, you need
to understand both reactive design patterns and modern data
architecture patterns.
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!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
