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" Feature engineering for machine learning : "


Document Type : BL
Record Number : 590639
Doc. No : b419858
Main Entry : Zheng, Alice
Title & Author : Feature engineering for machine learning : : principles and techniques for data scientists /\ Alice Zheng and Amanda Casari
Edition Statement : First edition
Page. NO : xiii, 200 pages :: illustrations ;; 24 cm
ISBN : 9781491953242
: : 1491953241
Bibliographies/Indexes : Includes bibliographical references and index
Contents : 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
Subject : Machine learning
Subject : Data mining
LC Classification : ‭Q325.5‬‭.Z495 2018‬
Added Entry : Casari, Amanda
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