Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Image 1

£90.15

CRC Press Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Name: Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Brand: CRC Press
Price: 90.15 GBP
Availability: InStock

Architecture & Microprocessors

Price History & Forecast

Last 30 days • 30 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 30 days • 1 price levels

Days at Price

Price Analysis

Most common price: £90 (30 days, 100.0%)

Price range: £90 - £90

Price levels: 1 different prices over 30 days

Description

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training data Cost of data annotation/labeling and cleaning Computational cost for model fitting, validation, and testing Cost of collecting features/attributes for test data Cost of user feedback collection Cost of incorrect prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches, but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles. Spurring further research on several open problems, this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1439839255
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 19 December 2011
Listed Since: 11 January 2010

Barcode

No barcode data available

CRC Press Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Cost-Sensitive Machine Learning (Chapman & Hall/Crc: Machine Learning & Pattern Recognition)

Machine Learning: Theory and Practice

Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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

Machine Learning: An Algorithmic Perspective, Second Edition

Statistical Learning and Data Science (Chapman & Hall/CRC Computer Science & Data Analysis)

Machine Learning

Machine Learning

Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Machine Learning Principles and Techniques (Chapman & Hall Computing)

Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

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

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Machine Learning and its Applications

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices (Cyber Ecosystem and Security)

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Computational Business Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)