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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

An introduction to machine learning pipelines

Usually, an ML algorithm needs clean data to detect some patterns in the data and make predictions over a new dataset. However, in real-world applications, the data is often not ready to be directly fed into an ML algorithm. Similarly, the output from an ML model is just numbers or characters that need to be processed for performing some actions in the real world. To accomplish that, the ML model has to be deployed in a production environment. This entire framework of converting raw data to usable information is performed using a ML pipeline.

The following is a high-level illustration of an ML pipeline:

We will break down the blocks illustrated in the preceding figure as follows:

  • Data Ingestion ...
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Publisher Resources

ISBN: 9781788629898Supplemental Content