Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning and Data Analytics
Author :
Publisher : CRC Press
Total Pages : 366
Release :
ISBN-10 : 9781351721264
ISBN-13 : 1351721267
Rating : 4/5 (64 Downloads)

Book Synopsis Feature Engineering for Machine Learning and Data Analytics by : Guozhu Dong

Download or read book Feature Engineering for Machine Learning and Data Analytics written by Guozhu Dong and published by CRC Press. This book was released on 2018-03-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.


Feature Engineering for Machine Learning and Data Analytics Related Books

Feature Engineering for Machine Learning
Language: en
Pages: 218
Authors: Alice Zheng
Categories: Computers
Type: BOOK - Published: 2018-03-23 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn t
Feature Engineering for Machine Learning and Data Analytics
Language: en
Pages: 366
Authors: Guozhu Dong
Categories: Business & Economics
Type: BOOK - Published: 2018-03-14 - Publisher: CRC Press

DOWNLOAD EBOOK

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if th
The Art of Feature Engineering
Language: en
Pages: 287
Authors: Pablo Duboue
Categories: Computers
Type: BOOK - Published: 2020-06-25 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.
Feature Engineering and Selection
Language: en
Pages: 266
Authors: Max Kuhn
Categories: Business & Economics
Type: BOOK - Published: 2019-07-25 - Publisher: CRC Press

DOWNLOAD EBOOK

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the mode
Data Science Revealed
Language: en
Pages: 252
Authors: Tshepo Chris Nokeri
Categories: Computers
Type: BOOK - Published: 2021-03-21 - Publisher: Apress

DOWNLOAD EBOOK

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teache