Name: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
SKU: 130254859
Price: 114440 KRW
Availability: InStock
Author: R. Sujatha
ISBN: 9781032104461

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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

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Green Engineering and Technology

직수입양서 Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

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R. Sujatha,S. L. Aarthy,R. Vettriselva

CRC Press 2024.10.04.

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책소개

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES<ul> <li>Provides insight into the skill set that leverages one’s strength to act as a good data analyst</li> <li>Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making</li> <li>Covers numerous potential applications in healthcare, education, communication, media, and entertainment</li> <li>Offers innovative platforms for integrating Big Data and Deep Learning</li> <li>Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data</li> </ul> This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

책소개 더보기펼치기

1. A Study on Big Data and Arti?cial Intelligence Techniques in Agricultural Sector
2. Deep Learning Models for Object Detection in Self-Driven Cars
3. Deep Learning for Analyzing the Data on Object Detection and Recognition
4. Emerging Applications of Deep Learning
5. Emerging Trend and Research Issues in Deep Learning with Cloud Computing
6. An Investigation of Deep Learning
7. A Study and Comparative Analysis of Various Use Cases of NLP Using Sequential Transfer Learning Techniques
8. Deep Learning for Medical Dataset Classi?cation Based on Convolutional Neural Networks
9. Deep Learning in Medical Image Classi?cation 10 A Comparative Review of the Role of Deep Learning in Medical Image Processing

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발행일: 2024년 10월 04일

쪽수, 무게, 크기: 204쪽 | 340g | 160*230mm

ISBN13: 9781032104461

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