Deep Learning Convergence to Big Data Analytics

Written By Murad Khan
Deep Learning  Convergence to Big Data Analytics
  • Publsiher : Springer
  • Release : 30 December 2018
  • ISBN : 9811334595
  • Pages : 79 pages
  • Rating : /5 from reviews
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Download or read book entitled Deep Learning Convergence to Big Data Analytics by author: Murad Khan which was release on 30 December 2018 and published by Springer with total page 79 pages . This book available in PDF, EPUB and Kindle Format. This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning. Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses various machine learning techniques in concatenation with the deep learning paradigm to support high-end data processing, data classifications, and real-time data processing issues. The classification and presentation are kept quite simple to help the readers and students grasp the basics concepts of various deep learning paradigms and frameworks. It mainly focuses on theory rather than the mathematical background of the deep learning concepts. The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.

Deep Learning Convergence to Big Data Analytics

Deep Learning  Convergence to Big Data Analytics
  • Author : Murad Khan,Bilal Jan,Haleem Farman
  • Publisher : Springer
  • Release Date : 2018-12-30
  • Total pages : 79
  • ISBN : 9811334595
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Summary : This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various ...

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
  • Author : Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
  • Publisher : IGI Global
  • Release Date : 2019-11-29
  • Total pages : 355
  • ISBN : 9811334595
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Summary : Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on ...

Deep Learning for Data Analytics

Deep Learning for Data Analytics
  • Author : Himansu Das,Chittaranjan Pradhan,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2020-05-29
  • Total pages : 218
  • ISBN : 9811334595
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Summary : Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design ...

Fog Computing Deep Learning and Big Data Analytics Research Directions

Fog Computing  Deep Learning and Big Data Analytics Research Directions
  • Author : C.S.R. Prabhu
  • Publisher : Springer
  • Release Date : 2019-02-04
  • Total pages : 69
  • ISBN : 9811334595
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Summary : This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management. ...

Fundamentals of Machine Learning for Predictive Data Analytics

Fundamentals of Machine Learning for Predictive Data Analytics
  • Author : John D. Kelleher,Brian Mac Namee,Aoife D'Arcy
  • Publisher : MIT Press
  • Release Date : 2015-07-24
  • Total pages : 624
  • ISBN : 9811334595
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Summary : A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications....

Machine Learning and Data Science

Machine Learning and Data Science
  • Author : Daniel D. Gutierrez
  • Publisher : Unknown
  • Release Date : 2015-10-01
  • Total pages : 230
  • ISBN : 9811334595
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Summary : This work provides the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation....

Advanced Data Analytics Using Python

Advanced Data Analytics Using Python
  • Author : Sayan Mukhopadhyay
  • Publisher : Apress
  • Release Date : 2018-03-29
  • Total pages : 186
  • ISBN : 9811334595
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Summary : Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll ...

Advanced Deep Learning Applications in Big Data Analytics

Advanced Deep Learning Applications in Big Data Analytics
  • Author : Bouarara, Hadj Ahmed
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Total pages : 351
  • ISBN : 9811334595
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Summary : Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy ...

Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning and Data Analytics
  • Author : Guozhu Dong,Huan Liu
  • Publisher : CRC Press
  • Release Date : 2018-03-14
  • Total pages : 400
  • ISBN : 9811334595
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Summary : Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the ...

Deep Learning in Data Analytics

Deep Learning in Data Analytics
  • Author : Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman
  • Publisher : Springer
  • Release Date : 2021-08-02
  • Total pages : 595
  • ISBN : 9811334595
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Summary : This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. ...

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
  • Author : K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
  • Publisher : CRC Press
  • Release Date : 2020-10-07
  • Total pages : 250
  • ISBN : 9811334595
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Summary : Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts ...

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges
  • Author : Aboul Ella Hassanien,Ashraf Darwish
  • Publisher : Springer Nature
  • Release Date : 2020-12-14
  • Total pages : 648
  • ISBN : 9811334595
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Summary : This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with ...

Machine Learning Cookbook with Python

Machine Learning Cookbook with Python
  • Author : Rehan Guha
  • Publisher : BPB Publications
  • Release Date : 2020-11-12
  • Total pages : 264
  • ISBN : 9811334595
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Summary : A Cookbook that will help you implement Machine Learning algorithms and techniques by building real-world projects KEY FEATURES Learn how to handle an entire Machine Learning Pipeline supported with adequate mathematics. Create Predictive Models and choose the right model for various types of Datasets. Learn the art of tuning a ...

Big Data Analytics Methods

Big Data Analytics Methods
  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2019-12-16
  • Total pages : 254
  • ISBN : 9811334595
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Summary : Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence ...

Artificial Intelligence and Deep Learning for Decision Makers

Artificial Intelligence and Deep Learning for Decision Makers
  • Author : Dr. Jagreet Kaur,Navdeep Singh Gill
  • Publisher : BPB Publications
  • Release Date : 2019-12-28
  • Total pages : 248
  • ISBN : 9811334595
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Summary : Learn modern-day technologies from modern-day technical giants DESCRIPTION The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning ...