February 2018
Intermediate to advanced
450 pages
11h 27m
English
Content preview from Deep Learning By Example
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Interaction features
Interaction features are obtained by performing mathematical operations on sets of features and indicate the effect of the relationship between variables. We use basic mathematical operations on the numerical features and see the effects of the relationship between variables:
# Constructing features manually based on the interaction between the individual featuresnumeric_features = df_titanic_data.loc[:, ['Age_scaled', 'Fare_scaled', 'Pclass_scaled', 'Parch_scaled', 'SibSp_scaled', 'Names_scaled', 'CabinNumber_scaled', 'Age_bin_id_scaled', 'Fare_bin_id_scaled']]print("\nUsing only numeric features for automated feature generation:\n", numeric_features.head(10))new_fields_count = 0for i in range(0, numeric_features.columns.size ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.