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Web Based Machine Learning Analytics System In Big Data

Web Based Machine Learning Analytics System in Big Data PDF
Author: Mingchu King
Publisher:
ISBN: 9781718120051
Format: PDF, Docs
Pages : 257
Category :
Languages : en
Size: 48.98 MB
View: 1905

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Web Based Machine Learning Analytics System In Big Data

by Mingchu King, Web Based Machine Learning Analytics System In Big Data Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Web Based Machine Learning Analytics System In Big Data books, This book is dedicated to people who have the aspiration to build their own analytics system with the capability of interactive user interface, machine learning, and in NOSQL database.This book provides detailed guidance and code examples to implement a web-based interactive applications and machine learning system through seamless integration of Django, Tensorflow, Keras, HTML, Javascript, CSS, and Cassandra. There are four parts in this book. Foundations provides fundamental knowledge to understand the basic elements of each part to be integrated as a system. Application development introduces how to build an interactive web application, the machine learning libraries, and how to build machine learning applications. Big-Data database integration introduces Cassandra and how to integrate Cassandra into Django applications. Responsive Web-based analytics application provides real code examples how to develop applications for data modeling, investment dashboard with responsive charts, and interactive Convolution Neural Network application.FoundationsChapter 1: Python Basics Chapter 2: Machine Learning using Tensorflow and Keras Chapter 3: HTML, CSS, and Javascript Chapter 4: Django Framework Application DevelopmentChapter 5: Interactive Web Application Chapter 6: Integrate Machine Learning Libraries and Build Applications Big-Data Database IntegrationChapter 7: Cassandra Introduction and Installation Chapter 8: Integrating Cassandra with DjangoResponsive Web-Based Analytics Applications Chapter 9: Data Modeling Chapter 10: Investment Dashboard and Responsive Charts Chapter 11: Interactive Convolution Neural Network ApplicationChapter 12: Summary


Big Data Analytics Systems Algorithms Applications

Big Data Analytics  Systems  Algorithms  Applications PDF
Author: C.S.R. Prabhu
Publisher: Springer Nature
ISBN: 9811500940
Format: PDF, Docs
Pages : 412
Category : Computers
Languages : en
Size: 39.76 MB
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Big Data Analytics Systems Algorithms Applications

by C.S.R. Prabhu, Big Data Analytics Systems Algorithms Applications Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Big Data Analytics Systems Algorithms Applications books, This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.


Big Data And Learning Analytics In Higher Education

Big Data and Learning Analytics in Higher Education PDF
Author: Ben Kei Daniel
Publisher: Springer
ISBN: 3319065203
Format: PDF, ePub, Docs
Pages : 272
Category : Education
Languages : en
Size: 51.81 MB
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Big Data And Learning Analytics In Higher Education

by Ben Kei Daniel, Big Data And Learning Analytics In Higher Education Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Big Data And Learning Analytics In Higher Education books, ​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.


Deep Learning Techniques And Optimization Strategies In Big Data Analytics

Deep Learning Techniques and Optimization Strategies in Big Data Analytics PDF
Author: Thomas, J. Joshua
Publisher: IGI Global
ISBN: 1799811948
Format: PDF, Kindle
Pages : 355
Category : Computers
Languages : en
Size: 71.92 MB
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Deep Learning Techniques And Optimization Strategies In Big Data Analytics

by Thomas, J. Joshua, Deep Learning Techniques And Optimization Strategies In Big Data Analytics Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Deep Learning Techniques And Optimization Strategies In Big Data Analytics books, 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 the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.


Handbook Of Research On Instructional Systems And Educational Technology

Handbook of Research on Instructional Systems and Educational Technology PDF
Author: Kidd, Terry
Publisher: IGI Global
ISBN: 1522524002
Format: PDF, ePub
Pages : 493
Category : Education
Languages : en
Size: 34.89 MB
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Handbook Of Research On Instructional Systems And Educational Technology

by Kidd, Terry, Handbook Of Research On Instructional Systems And Educational Technology Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Handbook Of Research On Instructional Systems And Educational Technology books, Incorporating new methods and approaches in learning environments is imperative to the development of education systems. By enhancing learning processes, education becomes more attainable at all levels. The Handbook of Research on Instructional Systems and Educational Technology is an essential reference source for the latest scholarly research on new models, trends, and data for solving instructional and learning challenges in education. Featuring extensive coverage on a wide range of topics such as distance education, online learning, and blended learning, this publication is ideally designed for academicians, practitioners, researchers, and students seeking current research on the latest improvements in instructional systems.


The Sage Encyclopedia Of Educational Technology

The SAGE Encyclopedia of Educational Technology PDF
Author: J. Michael Spector
Publisher: SAGE Publications
ISBN: 1483346404
Format: PDF, Kindle
Pages : 968
Category : Education
Languages : en
Size: 79.23 MB
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The Sage Encyclopedia Of Educational Technology

by J. Michael Spector, The Sage Encyclopedia Of Educational Technology Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download The Sage Encyclopedia Of Educational Technology books, The SAGE Encyclopedia of Educational Technology examines information on leveraging the power of technology to support teaching and learning. While using innovative technology to educate individuals is certainly not a new topic, how it is approached, adapted, and used toward the services of achieving real gains in student performance is extremely pertinent. This two-volume encyclopedia explores such issues, focusing on core topics and issues that will retain relevance in the face of perpetually evolving devices, services, and specific techniques. As technology evolves and becomes even more low-cost, easy-to-use, and more accessible, the education sector will evolve alongside it. For instance, issues surrounding reasoning behind how one study has shown students retain information better in traditional print formats are a topic explored within the pages of this new encyclopedia. Features: A collection of 300-350 entries are organized in A-to-Z fashion in 2 volumes available in a choice of print or electronic formats. Entries, authored by key figures in the field, conclude with cross references and further readings. A detailed index, the Reader’s Guide themes, and cross references combine for search-and-browse in the electronic version. This reference encyclopedia is a reliable and precise source on educational technology and a must-have reference for all academic libraries.


Big Data Analytics

Big Data Analytics PDF
Author: Anirban Mondal
Publisher: Springer
ISBN: 3030047806
Format: PDF
Pages : 424
Category : Computers
Languages : en
Size: 31.24 MB
View: 1887

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Big Data Analytics

by Anirban Mondal, Big Data Analytics Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Big Data Analytics books, This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.


The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy PDF
Author: John MacIntyre
Publisher: Springer Nature
ISBN: 3030627438
Format: PDF, Kindle
Pages :
Category :
Languages : en
Size: 44.73 MB
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The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy

by John MacIntyre, The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy books,


Learning Analytics Fundaments Applications And Trends

Learning Analytics  Fundaments  Applications  and Trends PDF
Author: Alejandro Peña-Ayala
Publisher: Springer
ISBN: 3319529773
Format: PDF, Mobi
Pages : 303
Category : Computers
Languages : en
Size: 70.90 MB
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Learning Analytics Fundaments Applications And Trends

by Alejandro Peña-Ayala, Learning Analytics Fundaments Applications And Trends Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Learning Analytics Fundaments Applications And Trends books, This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.


Predictive Intelligence Using Big Data And The Internet Of Things

Predictive Intelligence Using Big Data and the Internet of Things PDF
Author: Gupta, P.K.
Publisher: IGI Global
ISBN: 1522562117
Format: PDF, Mobi
Pages : 300
Category : Computers
Languages : en
Size: 26.83 MB
View: 5460

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Predictive Intelligence Using Big Data And The Internet Of Things

by Gupta, P.K., Predictive Intelligence Using Big Data And The Internet Of Things Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Predictive Intelligence Using Big Data And The Internet Of Things books, With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.