Deep Learning for Data Analytics

Written By Himansu Das
Deep Learning for Data Analytics
  • Publsiher : Academic Press
  • Release : 02 July 2020
  • ISBN : 0128197641
  • Pages : 218 pages
  • Rating : /5 from reviews
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Download or read book entitled Deep Learning for Data Analytics by author: Himansu Das which was release on 02 July 2020 and published by Academic Press with total page 218 pages . This book available in PDF, EPUB and Kindle Format. 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 and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis. Presents the latest advances in Deep Learning for data analytics and biomedical engineering applications. Discusses Deep Learning techniques as they are being applied in the real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes, performance evaluation, Deep Learning optimization, deep auto-encoders, and deep neural networks Provides readers with an introduction to Deep Learning, along with coverage of deep belief networks, convolutional neural networks, Restricted Boltzmann Machines, data analytics basics, enterprise data science, predictive analysis, optimization for Deep Learning, and feature selection using Deep Learning

Deep Learning for Data Analytics

Deep Learning for Data Analytics
  • Author : Himansu Das,Chittaranjan Pradhan,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2020-07-02
  • Total pages : 218
  • ISBN : 0128197641
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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 ...

Deep Learning for Biomedical Applications

Deep Learning for Biomedical Applications
  • Author : Utku Kose,Omer Deperlioglu,D. Jude Hemanth
  • Publisher : CRC Press
  • Release Date : 2021-07-20
  • Total pages : 364
  • ISBN : 0128197641
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Summary : This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and ...

Machine Learning for Biomedical Applications

Machine Learning for Biomedical Applications
  • Author : Maria Deprez,Emma C. Robinson
  • Publisher : Academic Press
  • Release Date : 2022-04-15
  • Total pages : 325
  • ISBN : 0128197641
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Summary : Machine Learning for Biomedical Applications presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning, where concepts are presented in short descriptions followed by solving simple examples using biomedical data. Interactive Python notebooks are provided with ...

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
  • Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
  • Publisher : Academic Press
  • Release Date : 2020-11-23
  • Total pages : 320
  • ISBN : 0128197641
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Summary : Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical ...

Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications
  • Author : Donald Wunsch,Tayo Obafemi-Ajayi,Gayla Olbricht,Khalid Al-Jabery
  • Publisher : Academic Press
  • Release Date : 2019-09-15
  • Total pages : 220
  • ISBN : 0128197641
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Summary : Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major ...

Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning

Machine Learning for Biomedical Applications  From Crowdsourcing to Deep Learning
  • Author : Shadi Albarqouni
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 0128197641
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Summary : Read online Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning written by Shadi Albarqouni, published by which was released on 2017. Download full Machine Learning for Biomedical Applications From Crowdsourcing to Deep Learning Books now! Available in PDF, ePub and Kindle....

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering
  • Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
  • Publisher : Apple Academic Press
  • Release Date : 2020-12-15
  • Total pages : 622
  • ISBN : 0128197641
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Summary : "Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in ...

Deep Learning for Biomedical Data Analysis

Deep Learning for Biomedical Data Analysis
  • Author : Mourad Elloumi
  • Publisher : Springer
  • Release Date : 2021-09-12
  • Total pages : 359
  • ISBN : 0128197641
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Summary : This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on ...

Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques

Biomedical Image Analysis and Machine Learning Technologies  Applications and Techniques
  • Author : Gonzalez, Fabio A.,Romero, Eduardo
  • Publisher : IGI Global
  • Release Date : 2009-12-31
  • Total pages : 390
  • ISBN : 0128197641
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Summary : Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and ...

Biomedical Applications Based on Natural and Artificial Computing

Biomedical Applications Based on Natural and Artificial Computing
  • Author : José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Javier Toledo Moreo,Hojjat Adeli
  • Publisher : Springer
  • Release Date : 2017-06-10
  • Total pages : 562
  • ISBN : 0128197641
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Summary : The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized ...

Development and Evaluation of Machine Learning Algorithms for Biomedical Applications

Development and Evaluation of Machine Learning Algorithms for Biomedical Applications
  • Author : Turki Talal Turki
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 197
  • ISBN : 0128197641
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Summary : Gene network inference and drug response prediction are two important problems in computational biomedicine. The former helps scientists better understand the functional elements and regulatory circuits of cells. The latter helps a physician gain full understanding of the effective treatment on patients. Both problems have been widely studied, though current ...

Similarity Based Clustering

Similarity Based Clustering
  • Author : Thomas Villmann,M. Biehl,Barbara Hammer,Michel Verleysen
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-06-02
  • Total pages : 203
  • ISBN : 0128197641
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Summary : This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical ...

From Bioinspired Systems and Biomedical Applications to Machine Learning

From Bioinspired Systems and Biomedical Applications to Machine Learning
  • Author : José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Javier Toledo Moreo,Hojjat Adeli
  • Publisher : Springer
  • Release Date : 2019-07-04
  • Total pages : 476
  • ISBN : 0128197641
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Summary : The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are ...

Human Inspired Computing and its Applications

Human Inspired Computing and its Applications
  • Author : Alexander Gelbukh,Félix Castro Espinoza,Sofía N. Galicia-Haro
  • Publisher : Springer
  • Release Date : 2014-11-05
  • Total pages : 508
  • ISBN : 0128197641
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Summary : The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in ...

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Total pages : 606
  • ISBN : 0128197641
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Summary : This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world ...