Feature engineering for machine learning : principles and techniques for data scientists /

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Bibliographic Details
Main Authors: Zheng, Alice (Author), Casari, Amanda (Author)
Format: eBook
Language:English
Published: Sebastopol, CA : O'Reilly Media, 2018.
Edition:First edition.
Subjects:
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504 |a Includes bibliographical references and index. 
505 0 |a The machine learning pipeline -- Fancy tricks with simple numbers -- Text data : flattening, filtering, and chunking -- The effects of feature scaling : from bag-of-words to Tf-Idf -- Categorical variables : counting eggs in the age of robotic chickens -- Dimensionality reduction : squashing the data pancake with PCA -- Nonlinear featurization via K-means model stacking -- Automating the featurizer : image feature extraction and deep learning -- Back to the feature : building an academic paper recommender -- Linear modeling and linear algebra basics. 
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650 0 |a Machine learning. 
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