Effective Amazon Machine Learning by Alexis Perrier

Author:Alexis Perrier [Perrier, Alexis]
Language: eng
Format: azw3, pdf
Tags: COM060180 - COMPUTERS / Web / Web Services & APIs, COM018000 - COMPUTERS / Data Processing, COM004000 - COMPUTERS / Intelligence (AI) & Semantics
Publisher: Packt Publishing
Published: 2017-04-25T04:00:00+00:00

Scripting (SQL):

Handling missing values for age: We replaced all missing values by the mean of the age

Text processing: We extracted titles from the name variables

Created a new feature, the family_size as the sum of parch and sibsp

Extraction of the deck from the cabin number

Both approaches are very complementary.

Parametrizing the model

Now that our data has been prepared for the SGD algorithm, we are ready to set the parameters of our experiment. In a way similar to scientific experimentation, we will want to try out several sets of parameters to test several models and pick up the best one. The next screenshot shows where we actually specify our model parameters:

Model memory

Data passes

Shuffling

Regularization

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