Name: Supervised and Unsupervised Data Engineering for Multimedia Data (en Inglés)
Price: 211540.00 CLP
Availability: InStock
Author: Swarnkar, Suman Kumar ; Patra, J. P. ; Kshatri, Sapna Singh
ISBN: 9781119786344

portada Supervised and Unsupervised Data Engineering for Multimedia Data (en Inglés)

Supervised and Unsupervised Data Engineering for Multimedia Data (en Inglés)

Formato

Libro Físico

Editorial

Wiley-Scrivener

Autor

Swarnkar, Suman Kumar ; Patra, J. P. ; Kshatri, Sapna Singh

Idioma

Inglés

N° páginas

336

Encuadernación

Tapa Dura

ISBN13

9781119786344

N° edición

Categorías

Investigación médica
Epidemiología y estadística médica

Supervised and Unsupervised Data Engineering for Multimedia Data (en Inglés)

Swarnkar, Suman Kumar ; Patra, J. P. ; Kshatri, Sapna Singh (Autor) · Wiley-Scrivener · Tapa Dura

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Reseña del libro "Supervised and Unsupervised Data Engineering for Multimedia Data (en Inglés)"

SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you're a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.