Read eBook: web based machine learning analytics system in big data

Author: Mingchu King
Publisher:
ISBN: 9781718120051
Format: PDF, Kindle
Pages : 257
Category :
Languages : en
Size: 55.41 MB
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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

Author: Thomas, J. Joshua
Publisher: IGI Global
ISBN: 1799811948
Format: PDF
Pages : 355
Category : Computers
Languages : en
Size: 67.97 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.

Author: Azevedo, Ana
Publisher: IGI Global
ISBN: 1799871045
Format: PDF
Pages : 296
Category : Education
Languages : en
Size: 77.44 MB
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Advancing The Power Of Learning Analytics And Big Data In Education

by Azevedo, Ana, Advancing The Power Of Learning Analytics And Big Data In Education Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Advancing The Power Of Learning Analytics And Big Data In Education books, The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.

Author: Viktor Mayer-Schönberger
Publisher: Redline Wirtschaft
ISBN: 3864144590
Format: PDF, ePub, Docs
Pages : 288
Category : Political Science
Languages : de
Size: 27.55 MB
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Big Data

by Viktor Mayer-Schönberger, Big Data Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Big Data books, Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.

Author: John MacIntyre
Publisher: Springer Nature
ISBN: 3030627438
Format: PDF, ePub, Docs
Pages :
Category :
Languages : en
Size: 76.44 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,

Author: Anirban Mondal
Publisher: Springer
ISBN: 3030047806
Format: PDF, Mobi
Pages : 424
Category : Computers
Languages : en
Size: 68.45 MB
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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.

Author: Dusty Phillips
Publisher: Packt Publishing Ltd
ISBN: 1786468417
Format: PDF, Kindle
Pages : 1255
Category : Computers
Languages : en
Size: 69.11 MB
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Python Real World Data Science

by Dusty Phillips, Python Real World Data Science Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Python Real World Data Science books, Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.

Author: Nataraj Dasgupta
Publisher: Packt Publishing Ltd
ISBN: 1783554401
Format: PDF, ePub, Mobi
Pages : 412
Category : Computers
Languages : en
Size: 14.30 MB
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Practical Big Data Analytics

by Nataraj Dasgupta, Practical Big Data Analytics Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Practical Big Data Analytics books, Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.

Author: Ben Kei Daniel
Publisher: Springer
ISBN: 3319065203
Format: PDF, ePub
Pages : 272
Category : Education
Languages : en
Size: 42.26 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​.

Author: P. Venkata Krishna
Publisher: Springer
ISBN: 981131456X
Format: PDF, Mobi
Pages : 116
Category : Computers
Languages : en
Size: 77.26 MB
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Social Network Forensics Cyber Security And Machine Learning

by P. Venkata Krishna, Social Network Forensics Cyber Security And Machine Learning Books available in PDF, EPUB, Kindle, Docs and Mobi Format. Download Social Network Forensics Cyber Security And Machine Learning books, This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.