Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) - Image 1

£105.85

CRC Press Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Name: Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Brand: CRC Press
Price: 105.85 GBP
Availability: InStock

Economics

This is the most expensive it has ever been. Walk away.

£106 today · previous high £106 · all-time low £15

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 627 days • 627 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 627 days • 3 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £88-106 (505 days, 80.5%)

Price range: £15 - £106

Price levels: 3 price ranges over 627 days

Description

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.

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1138744387
Category: Books > Subjects > Business, Finance & Law > Economics
Domain: Amazon UK
Release Date: 04 April 2018
Listed Since: 09 November 2017

Barcode

No barcode data available

CRC Press Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Feature Selection for Data and Pattern Recognition: 584 (Studies in Computational Intelligence, 584)

Springer Feature Selection for Data and Pattern Recognition 584

International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020): Emerging Applications and Technologies for Industry ... (Lecture Notes in Networks and Systems, 254)

Granular Computing Based Machine Learning: A Big Data Processing Approach: 35 (Studies in Big Data, 35)

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures

Feature Extraction, Construction and Selection: A Data Mining Perspective: 453 (The Springer International Series in Engineering and Computer Science, 453)

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Practical Machine Learning for Data Analysis Using Python

Nature-Inspired Computation in Data Mining and Machine Learning: 855 (Studies in Computational Intelligence, 855)

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Big Data and Smart Digital Environment: 53 (Studies in Big Data, 53)

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Dimensionality Reduction in Data Science

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Soft Computing in Big Data Processing: 271 (Advances in Intelligent Systems and Computing, 271)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Recent Advances in Information and Communication Technology 2018: Proceedings of the 14th International Conference on Computing and Information ... in Intelligent Systems and Computing, 769)

Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner

Big Data Analytics Techniques for Market Intelligence

Applied Data Analytics - Principles and Applications (River Publishers Series in Signal, Image and Speech Processing)