Pablo Duboue

The Art of Feature Engineering

Essentials for Machine Learning

• Broschiertes Buch

Produktbeschreibung

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 284
• Erscheinungstermin: 30. Juli 2020
• Englisch
• Abmessung: 226mm x 151mm x 17mm
• Gewicht: 432g
• ISBN-13: 9781108709385
• ISBN-10: 1108709389
• Artikelnr.: 58769874

Autorenporträt

Pablo Duboue is Director of Textualization Software Ltd. and is passionate about improving society through technology. He has a Ph.D. in Computer Science from Columbia University and was part of the IBM Watson team that beat the Jeopardy! Champions in 2011. He splits his time between teaching machine learning, doing open research, contributing to free software projects, and consulting for start-ups. He has taught in three different countries and done joint research with more than fifty co-authors. Recent career highlights include a best paper award in the Canadian AI conference industrial track and consulting for a start-up acquired by Intel Corp.

Inhaltsangabe

Part I. Fundamentals: 1. Introduction
2. Features, combined
3. Features, expanded
4. Features, reduced
5. Advanced topics
Part II. Case Studies: 6. Graph data
7. Timestamped data
8. Textual data
9. Image data
10. Other domains.