Suman Kumar Swarnkar & J. P. Patra 
Supervised and Unsupervised Data Engineering for Multimedia Data [PDF ebook] 

Dukung

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.

€146.99
cara pembayaran
Beli ebook ini dan dapatkan 1 lagi GRATIS!
Bahasa Inggris ● Format PDF ● Halaman 336 ● ISBN 9781119786436 ● Ukuran file 36.5 MB ● Editor Suman Kumar Swarnkar & J. P. Patra ● Penerbit John Wiley & Sons ● Diterbitkan 2024 ● Edisi 1 ● Diunduh 24 bulan ● Mata uang EUR ● ID 9394733 ● Perlindungan salinan Adobe DRM
Membutuhkan pembaca ebook yang mampu DRM

Ebook lainnya dari penulis yang sama / Editor

147,568 Ebooks dalam kategori ini