Inspired By Data

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Empowered by Data

Author : Eva Murray
Publisher : John Wiley & Sons
ISBN 13 : 1119705657
Total Pages : 180 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Empowered by Data by : Eva Murray

Download or read book Empowered by Data written by Eva Murray and published by John Wiley & Sons. This book was released on 2020-11-10 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build an analytics community in your organization from scratch How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities. How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover: What analytics communities are and what they look like Why data-driven organizations need analytics communities How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like. How they can establish their own communities and what they can do to ensure their community grows and flourishes Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.

Dear Data

Author : Giorgia Lupi
Publisher : Chronicle Books
ISBN 13 : 1616895462
Total Pages : 304 pages
Book Rating : 4.6/5 (168 download)

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Book Synopsis Dear Data by : Giorgia Lupi

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Biologically-Inspired Computing for the Arts: Scientific Data through Graphics

Author : Ursyn, Anna
Publisher : IGI Global
ISBN 13 : 1466609435
Total Pages : 444 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Biologically-Inspired Computing for the Arts: Scientific Data through Graphics by : Ursyn, Anna

Download or read book Biologically-Inspired Computing for the Arts: Scientific Data through Graphics written by Ursyn, Anna and published by IGI Global. This book was released on 2012-04-30 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book comprises a collection of authors' individual approaches to the relationship between nature, science, and art created with the use of computers, discussing issues related to the use of visual language in communication about biologically-inspired scientific data, visual literacy in science, and application of practitioner's approach"--Provided by publisher.

Storytelling with Data

Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
ISBN 13 : 1119002265
Total Pages : 288 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Nature Inspired Computing for Data Science

Author : Minakhi Rout
Publisher : Springer Nature
ISBN 13 : 3030338207
Total Pages : 303 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Nature Inspired Computing for Data Science by : Minakhi Rout

Download or read book Nature Inspired Computing for Data Science written by Minakhi Rout and published by Springer Nature. This book was released on 2019-11-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

INSPIRED

Author : Marty Cagan
Publisher : John Wiley & Sons
ISBN 13 : 111938754X
Total Pages : 370 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis INSPIRED by : Marty Cagan

Download or read book INSPIRED written by Marty Cagan and published by John Wiley & Sons. This book was released on 2017-11-17 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do today’s most successful tech companies—Amazon, Google, Facebook, Netflix, Tesla—design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently than the vast majority of tech companies. In INSPIRED, technology product management thought leader Marty Cagan provides readers with a master class in how to structure and staff a vibrant and successful product organization, and how to discover and deliver technology products that your customers will love—and that will work for your business. With sections on assembling the right people and skillsets, discovering the right product, embracing an effective yet lightweight process, and creating a strong product culture, readers can take the information they learn and immediately leverage it within their own organizations—dramatically improving their own product efforts. Whether you’re an early stage startup working to get to product/market fit, or a growth-stage company working to scale your product organization, or a large, long-established company trying to regain your ability to consistently deliver new value for your customers, INSPIRED will take you and your product organization to a new level of customer engagement, consistent innovation, and business success. Filled with the author’s own personal stories—and profiles of some of today’s most-successful product managers and technology-powered product companies, including Adobe, Apple, BBC, Google, Microsoft, and Netflix—INSPIRED will show you how to turn up the dial of your own product efforts, creating technology products your customers love. The first edition of INSPIRED, published ten years ago, established itself as the primary reference for technology product managers, and can be found on the shelves of nearly every successful technology product company worldwide. This thoroughly updated second edition shares the same objective of being the most valuable resource for technology product managers, yet it is completely new—sharing the latest practices and techniques of today’s most-successful tech product companies, and the men and women behind every great product.

Data Sketches

Author : Nadieh Bremer
Publisher : CRC Press
ISBN 13 : 0429816820
Total Pages : 429 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Data Sketches by : Nadieh Bremer

Download or read book Data Sketches written by Nadieh Bremer and published by CRC Press. This book was released on 2021-02-09 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Author : Alam, Shafiq
Publisher : IGI Global
ISBN 13 : 1466660791
Total Pages : 397 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Biologically-Inspired Techniques for Knowledge Discovery and Data Mining by : Alam, Shafiq

Download or read book Biologically-Inspired Techniques for Knowledge Discovery and Data Mining written by Alam, Shafiq and published by IGI Global. This book was released on 2014-05-31 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Nature-Inspired Algorithms for Big Data Frameworks

Author : Banati, Hema
Publisher : IGI Global
ISBN 13 : 1522558535
Total Pages : 412 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Nature-Inspired Algorithms for Big Data Frameworks by : Banati, Hema

Download or read book Nature-Inspired Algorithms for Big Data Frameworks written by Banati, Hema and published by IGI Global. This book was released on 2018-09-28 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Author : Simon James Fong
Publisher : Springer Nature
ISBN 13 : 981156695X
Total Pages : 228 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing by : Simon James Fong

Download or read book Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing written by Simon James Fong and published by Springer Nature. This book was released on 2020-08-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.

Nature-Inspired Computation in Data Mining and Machine Learning

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 3030285537
Total Pages : 273 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Nature-Inspired Computation in Data Mining and Machine Learning by : Xin-She Yang

Download or read book Nature-Inspired Computation in Data Mining and Machine Learning written by Xin-She Yang and published by Springer Nature. This book was released on 2019-09-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Author : Ahmed M. Anter
Publisher : Springer Nature
ISBN 13 : 3031459520
Total Pages : 265 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Nature-Inspired Methods for Smart Healthcare Systems and Medical Data by : Ahmed M. Anter

Download or read book Nature-Inspired Methods for Smart Healthcare Systems and Medical Data written by Ahmed M. Anter and published by Springer Nature. This book was released on 2024-01-02 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1522552200
Total Pages : 329 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Quantum-Inspired Intelligent Systems for Multimedia Data Analysis by : Bhattacharyya, Siddhartha

Download or read book Quantum-Inspired Intelligent Systems for Multimedia Data Analysis written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2018-04-13 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

Better Data Visualizations

Author : Jonathan Schwabish
Publisher : Columbia University Press
ISBN 13 : 0231550154
Total Pages : 464 pages
Book Rating : 4.2/5 (315 download)

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Book Synopsis Better Data Visualizations by : Jonathan Schwabish

Download or read book Better Data Visualizations written by Jonathan Schwabish and published by Columbia University Press. This book was released on 2021-02-09 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.

Giving Bodies Back to Data

Author : Silvia Casini
Publisher : MIT Press
ISBN 13 : 026204529X
Total Pages : 321 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Giving Bodies Back to Data by : Silvia Casini

Download or read book Giving Bodies Back to Data written by Silvia Casini and published by MIT Press. This book was released on 2021-08-03 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of the bodily, situated aspects of data-visualization work, looking at visualization practices around the development of MRI technology. Our bodies are scanned, probed, imaged, sampled, and transformed into data by clinicians and technologists. In this book, Silvia Casini reveals the affective relations and materiality that turn data into image--and in so doing, gives bodies back to data. Opening the black box of MRI technology, Casini examines the bodily, situated aspects of visualization practices around the development of this technology. Reframing existing narratives of biomedical innovation, she emphasizes the important but often overlooked roles played by aesthetics, affectivity, and craft practice in medical visualization. Combining history, theory, laboratory ethnography, archival research, and collaborative art-science, Casini retrieves the multiple presences and agencies of bodies in data visualization, mapping the traces of scientists' body work and embodied imagination. She presents an in-depth ethnographic study of MRI development at the University of Aberdeen's biomedical physics laboratory, from the construction of the first whole-body scanner for clinical purposes through the evolution of the FFC-MRI. Going beyond her original focus on MRI, she analyzes a selection of neuroscience- or biomedicine-inspired interventions by artists in media ranging from sculpture to virtual reality. Finally, she presents a methodology for designing and carrying out small-scale art-science projects, describing a collaboration that she herself arranged, highlighting the relational and aesthetic-laden character of data that are the product of craftsmanship and affective labor at the laboratory bench.

Datastory

Author : Nancy Duarte
Publisher : IdeaPress Publishing
ISBN 13 : 9781940858982
Total Pages : 240 pages
Book Rating : 4.8/5 (589 download)

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Book Synopsis Datastory by : Nancy Duarte

Download or read book Datastory written by Nancy Duarte and published by IdeaPress Publishing. This book was released on 2019-09-17 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers will learn to understand the story behind the data and how to influence the people with a DataStory.

Data-Driven Storytelling

Author : Nathalie Henry Riche
Publisher : CRC Press
ISBN 13 : 1315281554
Total Pages : 296 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Data-Driven Storytelling by : Nathalie Henry Riche

Download or read book Data-Driven Storytelling written by Nathalie Henry Riche and published by CRC Press. This book was released on 2018-03-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.