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From Data To Discovery The Essential Guide To Big Data Analytics
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Book Synopsis From Data to Discovery: The Essential Guide to Big Data Analytics by : Dr.J.Premalatha
Download or read book From Data to Discovery: The Essential Guide to Big Data Analytics written by Dr.J.Premalatha and published by SK Research Group of Companies. This book was released on 2024-02-27 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.J.Premalatha, Vice Principal, Dhanalakshmi Srinivasan Arts and Science(Co-Ed) College, Mamallapuram, Chennai, Tamil Nadu, India. Dr.K.Kalaiselvi, Professor, Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, Tamil Nadu, India. Dr.A.Senthilkumar, Assistant Professor, Department of Computer Science with Data Analytics, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India.
Book Synopsis Analytics in a Big Data World by : Bart Baesens
Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Book Synopsis Analytics in a Big Data World by : Bart Baesens
Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-05-19 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Download or read book Data Science written by Herbert Jones and published by . This book was released on 2020-01-03 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying
Book Synopsis Big-Data Analytics for Cloud, IoT and Cognitive Computing by : Kai Hwang
Download or read book Big-Data Analytics for Cloud, IoT and Cognitive Computing written by Kai Hwang and published by John Wiley & Sons. This book was released on 2017-03-17 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
Book Synopsis Big Data Analytics by : Kim H. Pries
Download or read book Big Data Analytics written by Kim H. Pries and published by CRC Press. This book was released on 2015-02-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif
Book Synopsis Data Science Fundamentals and Practical Approaches by : Dr. Gypsy Nandi
Download or read book Data Science Fundamentals and Practical Approaches written by Dr. Gypsy Nandi and published by BPB Publications. This book was released on 2020-06-02 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to process and analysis data using PythonÊ KEY FEATURESÊ - The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. - The book is not just dealing with the background mathematics alone or only the programs but beautifully correlates the background mathematics to the theory and then finally translating it into the programs. - A rich set of chapter-end exercises are provided, consisting of both short-answer questions and long-answer questions. DESCRIPTION This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems.Ê Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of each of the Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of Python programming language. Each chapter contains numerous examples and illustrative output to explain the important basic concepts. An appropriate number of questions is presented at the end of each chapter for self-assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic.Ê WHAT WILL YOU LEARNÊ Perform processing on data for making it ready for visual plot and understand the pattern in data over time. Understand what machine learning is and how learning can be incorporated into a program. Know how tools can be used to perform analysis on big data using python and other standard tools. Perform social media analytics, business analytics, and data analytics on any data of a company or organization. WHO THIS BOOK IS FOR The book is for readers with basic programming and mathematical skills. The book is for any engineering graduates that wish to apply data science in their projects or wish to build a career in this direction. The book can be read by anyone who has an interest in data analysis and would like to explore more out of interest or to apply it to certain real-life problems. TABLE OF CONTENTS 1. Fundamentals of Data Science1 2. Data Preprocessing 3. Data Plotting and Visualization 4. Statistical Data Analysis 5. Machine Learning for Data Science 6. Time-Series Analysis 7. Deep Learning for Data Science 8. Social Media Analytics 9. Business Analytics 10. Big Data Analytics
Book Synopsis Online Identity - An Essential Guide by : Rohit Raja
Download or read book Online Identity - An Essential Guide written by Rohit Raja and published by BoD – Books on Demand. This book was released on 2024-04-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's digital age, having a strong online identity has become more important than ever. This book aims to explore the many facets of this topic, from the importance of building a positive digital presence to managing one's online reputation and privacy. We want to cover different aspects of online identity. This book will focus on the importance of online identity and how it can affect our personal and professional lives. We also want to provide strategies for building a strong and authentic online identity, including tips on how to curate social media profiles and manage privacy settings. The book will also delve into the concept of digital footprints and the implications of our online actions, explore online reputation management and how to maintain a positive online image, and analyze the impact of online identity on mental health, including the effects of cyberbullying and social comparison. Finally, the book will look into the future of online identity, exploring emerging technologies such as blockchain-based identity solutions and virtual reality environments. With practical tips and insightful analysis, this book hopes to become an essential guide for anyone looking to navigate the complexities of online identity in the digital age.
Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury
Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2024-11-02 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Book Synopsis The Essential Guide to the Science of Science by : Prince of Peace
Download or read book The Essential Guide to the Science of Science written by Prince of Peace and published by Prince of Peace. This book was released on 2024-04-24 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Essential Guide to the Science of Science is a comprehensive and well-researched curriculum that is highly recommended for educators who are seeking a more in-depth understanding of the scientific method and its application. This book provides a detailed overview of the scientific process, including the design and execution of experiments, data analysis, and the interpretation of results. It also delves into important topics such as scientific communication, ethical considerations, and critical thinking skills. One of the key strengths of this guide is its emphasis on practical application. It provides educators with a wealth of examples and case studies that illustrate the concepts covered in each chapter. This makes it easy for teachers to incorporate the material into their lessons and to help their students develop a deeper understanding of how science works. Another strength of this book is its accessibility. The language is clear and concise, and the concepts are presented in a way that is easy to understand, even for those who may not have a strong background in science. The guide is also well-structured, with each chapter building upon the previous one, making it easy to follow along and stay engaged. Overall, The Essential Guide to the Science of Science is an invaluable resource for educators who are passionate about teaching their students the scientific method and helping them develop the skills they need to succeed in a rapidly changing world.
Book Synopsis Big Data at Work by : Thomas Davenport
Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Book Synopsis Introduction to Biomedical Data Science by : Robert Hoyt
Download or read book Introduction to Biomedical Data Science written by Robert Hoyt and published by Lulu.com. This book was released on 2019-11-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.
Book Synopsis A Guide to Planning and Managing Open Innovative Ecosystems by : João Leitão
Download or read book A Guide to Planning and Managing Open Innovative Ecosystems written by João Leitão and published by Emerald Group Publishing. This book was released on 2020-10-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technology in the form of big data and data analytics is transforming the global economy. This book is the first to take an open innovation perspective to the study and practice of ecosystems, providing a novel way of understanding the impact data has on the way entrepreneurial firms develop.
Book Synopsis Data Science and Big Data Analytics by : EMC Education Services
Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2014-12-19 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Book Synopsis Agile Data Warehousing for the Enterprise by : Ralph Hughes
Download or read book Agile Data Warehousing for the Enterprise written by Ralph Hughes and published by Newnes. This book was released on 2015-09-19 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: - Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. - Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. - Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. - Learn how to quickly define scope and architecture before programming starts - Includes techniques of process and data engineering that enable iterative and incremental delivery - Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing - Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges - Use the provided 120-day road map to establish a robust, agile data warehousing program
Book Synopsis The Science of Peak Sports Performance: A Guide to the Assessment, Control, and Monitoring of Training by : Jaime A. Roa
Download or read book The Science of Peak Sports Performance: A Guide to the Assessment, Control, and Monitoring of Training written by Jaime A. Roa and published by Jaime A. Roa. This book was released on 2024-09-30 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Science of Peak Sports Performance: A Guide to the Assessment, Control, and Monitoring of Training" serves as a comprehensive and up-to-date reference aimed at coaches, athletes, sports medicine professionals, and sports science practitioners who are interested in applying a scientific approach to optimizing sports performance. Through its five sections, the book delves deeply into the most advanced principles, methods, and tools for the assessment, control, and monitoring of sports training: 1. Foundations of the Scientific Assessment, Control, and Monitoring of Sports Training: Introduces key concepts related to biomedical control in athletes, highlighting their relevance and application in high-performance sports. 2. Comprehensive Athlete Evaluation: Provides a detailed analysis of contemporary methods for physical, functional, and psychological evaluation of athletes, allowing for a multidimensional approach in training planning. 3. Physiological Monitoring of Training: Explores in depth the use of wearable devices and biometric sensors for continuous monitoring of athletes' physiological status. The book addresses the use of heart rate variability (HRV) as a fundamental tool for adjusting training loads and preventing overtraining. 4. Biochemical Control of Sports Training: Analyzes the main biochemical markers used in training control, including hematological, hormonal, muscle damage, stress, and energy metabolism indicators, with a focus on the relationship between these markers and sports performance. 5. Artificial Intelligence Applied to the Scientific Control of Training and Performance Analysis: Examines the implementation of advanced artificial intelligence and machine learning technologies in the analysis and optimization of performance, offering practical examples of their use in the sports context. This e-book is an indispensable tool for those seeking to implement a rigorous, evidence-based approach to enhancing sports performance, preventing injuries, and effectively managing training loads.
Book Synopsis Banking on Cloud Data Platforms: A Guide by : Dillip Kumar, Sarah Mohapatra
Download or read book Banking on Cloud Data Platforms: A Guide written by Dillip Kumar, Sarah Mohapatra and published by Blue Rose Publishers. This book was released on 2023-10-12 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the evolution of data platforms over the last five decades, spanning from data warehousing to big data and cloud technologies. It discusses architecture, guiding principles, technology, and various use cases in the banking industry. The role of fintech and meeting digital payment demands with modern platforms is addressed. Techniques for handling PII/SPDI data in the cloud, ingestion frameworks, real-time and streaming data, and data availability are discussed practically. Additionally, it covers the increasing roles of CDOs, governance, data security, and DPDP. These chapters serve as valuable references for banks and financial institutions, drawing from real-world data sources and global events.
