September 2019
Intermediate to advanced
703 pages
13h 5m
English
Data is a vital component for building learning models. There are two design choices for how data is used in the modeling pipeline. The first is to build your learning model with data at rest (batch learning), and the other is when the data is flowing in streams into the learning algorithm (online learning). This flow can be as individual sample points in your dataset, or it can be in small batch sizes. Let’s briefly discuss these concepts.
In batch learning the machine learning model is trained using the entire dataset ...
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