Ozdemir / Susarla | Feature Engineering Made Easy | E-Book | sack.de
E-Book

E-Book, Englisch, 316 Seiten

Ozdemir / Susarla Feature Engineering Made Easy

Identify unique features from your dataset in order to build powerful machine learning systems
1. Auflage 2018
ISBN: 978-1-78728-647-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Identify unique features from your dataset in order to build powerful machine learning systems

E-Book, Englisch, 316 Seiten

ISBN: 978-1-78728-647-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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Weitere Infos & Material


Table of Contents - Introduction to Feature Engineering
- Feature Understanding - What's in My Data?
- Feature Improvement - Cleaning Datasets
- Feature Construction
- Feature Selection
- Feature Transformations
- Automatic Construction of Features
- Case Studies


Ozdemir Sinan:
Sinan is an active lecturer focusing on large language models and a former lecturer of data science at the Johns Hopkins University. He is the author of multiple textbooks on data science and machine learning including "Quick Start Guide to LLMs". Sinan is currently the founder of LoopGenius which uses AI to help people and businesses boost their sales and was previously the founder of the acquired Kylie.ai, an enterprise-grade conversational AI platform with RPA capabilities. He holds a Master's Degree in Pure Mathematics from Johns Hopkins University and is based in San Francisco.Susarla Divya:
Divya Susarla is an experienced leader in data methods, implementing and applying tactics across a range of industries and fields including investment management, social enterprise consulting, and wine marketing. She trained in data by way of specializing in Economics and Political Science at University of California, Irvine, cultivating a passion for teaching by developing an analytically based, international affairs curriculum for students through the Global Connect program. Divya is currently focused on natural language processing and generation techniques at Kylie.ai, a startup helping clients automate their customer support conversations. When she is not busy working on building Kylie.ai and writing educational content, she spends her time traveling across the globe and experimenting with new recipes at her home in Berkeley, CA.



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