@book{
 title = {Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies},
 type = {book},
 identifiers = {[object Object]},
 keywords = {Data mining.,Machine learning.,Prediction theory.},
 id = {0c78de50-a9f4-3a2b-801b-426a8e5634e5},
 created = {2017-12-07T09:05:44.460Z},
 file_attached = {false},
 profile_id = {3f3cebd9-2c9e-33e2-9759-3b3c3deedc23},
 group_id = {536d95d1-2454-3de1-8f1c-e33d197e2f41},
 last_modified = {2017-12-07T09:05:44.460Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 source_type = {Book},
 notes = {GBB5A0641 bnb<br/>John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.<br/>Formerly CIP. Uk<br/>Includes bibliographical references (pages 557-563) and index.<br/>Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.},
 private_publication = {false},
 bibtype = {book},
 author = {Kelleher, John D and Mac Namee, Brian and D'Arcy, Aoife}
}