• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Representation, Preprocessing, and Dimensionality Reduction

Data Representation, Preprocessing, and Dimensionality Reduction

Paperback

General Computers

ISBN10: 6630237846
ISBN13: 9786630237849
Publisher: LAP Lambert Academic Publishing
Published: Jul 22 2026
Pages: 244
Weight: 0.73
Height: 0.55 Width: 6.00 Depth: 9.00
Language: English
Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments.

Also from

Kumari, Parveen

Also in

General Computers