£135.29

Springer Deep-BDB 2021 - Deep Learning, Big Data and Blockchain

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Description

Explore the latest advancements in modern computing with The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021). Published by Springer as part of the Lecture Notes in Networks and Systems series, this volume provides a comprehensive collection of research manuscripts that address the rapid evolution of data analysis. As deep learning changes how we analyze massive amounts of daily-life data to uncover trends, this book serves as a vital resource for understanding these shifts. The content features state-of-the-art work in the interconnected fields of deep learning, blockchain, and big data. Every manuscript in this collection has undergone a rigorous peer-review process, ensuring that the research meets high standards for novelty, originality, and technical rigour. This book is an essential addition for researchers and professionals interested in machine learning, time series analysis, and the growing impact of decentralized technologies. Stay informed on the trends shaping the future of computer science and data-driven decision making.

Key Features

Includes a curated collection of peer-reviewed research manuscripts covering the most recent developments in deep learning and blockchain technology.

Provides state-of-the-art insights into big data analysis and how deep learning helps uncover significant trends from massive datasets.

Part of the respected Lecture Notes in Networks and Systems series, ensuring high-quality academic and professional standards.

Covers essential technical topics such as machine learning and time series analysis to support advanced research needs.

Focuses on originality and rigour, with all included works vetted for novelty and scientific accuracy.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 August 2021
Listed Since
20 August 2020

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