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book contains the topics related to Ensemble Learning and Deep Learning?

 
Greenhorn
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Hi, I'm a data science and machine learning practitioner. I'm wondering if the book contains the topics related to Ensemble Learning and Deep Learning as well with some real time examples.
 
Greenhorn
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I don't explicitly cover Ensemble Learning and Deep Learning in this book with great detail, but this could be a good "philosophical" step in the journey to both of those topics.  In the Google Cloud section, I have an example of using TPUS (I think this may be the first book with an example since I was given Alpha access to them), and some Deep Learning is done via Tensorflow on a TPU.  This is a very basic example though.

Ensemble Learning is only talked about in the context of the Netflix prize where I mention that the winning approach, an ensemble learning method, wasn't implemented because of the complexities of putting it into production.  I think there is a lesson here, and that is that complex ML techniques may ultimately not make it into production if the operationalization is not accounted for.  This is where Managed Machine Learning systems:  Sagemaker, etc, play a role.  They abstract away ML operational complexity.
 
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