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Springer Deep Learning for Social Media Data Analytics - Book

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Description

Expand your knowledge in the field of artificial intelligence with Deep Learning for Social Media Data Analytics. This academic volume is part of the Studies in Big Data series (Volume 113) published by Springer. It provides a focused look into how deep learning techniques can be applied to the massive datasets generated by social media platforms. Designed for readers interested in computer science, AI, and machine learning, this book serves as a technical resource for understanding modern data analytics. Whether you are studying big data trends or exploring advanced computing methods, this publication offers professional insights into the intersection of deep learning and social media data. It is an essential addition to any academic or professional library focused on the latest developments in machine learning and big data research.

Key Features

Part of the reputable Studies in Big Data series, specifically volume 113.

Published by Springer, a leading name in academic and technical literature.

Focuses on the application of deep learning within social media data analytics.

Categorized under Computer Science, AI, and Machine Learning for targeted study.

Provides technical content suitable for researchers and students in big data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 September 2023
Listed Since
23 August 2023

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