Capitalizing on big data

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (961 download)

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Book Synopsis Capitalizing on big data by :

Download or read book Capitalizing on big data written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Capitalizing Data Science

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Publisher : BPB Publications
ISBN 13 : 9355511582
Total Pages : 295 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Capitalizing Data Science by : Mathangi Sri Ramachandran

Download or read book Capitalizing Data Science written by Mathangi Sri Ramachandran and published by BPB Publications. This book was released on 2022-12-03 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Potential of Data Science and Machine Learning to Your Business and Organization KEY FEATURES ● Includes today's most popular applications powered by data science and machine learning technology. ● A solid primer on the entire data science lifecycle, detailed with examples. ● An integrated approach to demonstrating the use of Image Processing, Natural Language Processing, and Neural Networks in business. DESCRIPTION Can you foresee how your company and its products will benefit from data science? How can the results of using AI and ML in business be tracked and questioned? Do questions like ‘how do you build a data science team?’ keep popping into your head? All these strategic concerns and challenges are addressed in this book. Firstly, the book explores the evolution of decision-making based on empirical evidence. The book then helps compare the data-supported era with the current data-led era. It also discusses how to successfully run a data science project, the lifecycle of a data science project, and what it looks like. The book dives fairly in-depth into various today's data-led applications, highlights example datasets, discusses obstacles, and explains machine learning models and algorithms intuitively. This book covers structural and organizational considerations for making a data science team. The book helps recommend the use of optimal data science organization structure based on the company's level of development. Finally, the book explains data science's effects on businesses by assisting technological leaders. WHAT YOU WILL LEARN ● Learn the entire data science lifecycle and become fluent in each phase. ● Discover the world of supervised and unsupervised learning applications and structured and unstructured datasets. ● Discuss NLP's function, its potential, and the application of well-known methods like BERT and GPT3. ● Explain practical applications like automatic captioning, machine translation, and emotion recognition. ● Provide a framework for evaluating your team's data science skills and resources. WHO THIS BOOK IS FOR Startups, investors, small businesses, product management teams, CxO and all developing businesses desiring to leverage a data science team to gain the most from this book. The book also discusses the potential of practical applications of machine learning and AI for the future of businesses in banking and e-commerce. TABLE OF CONTENTS 1. Data-Driven Decisions from Beginning to Now 2. Data Science Life Cycle —Part 1 3. Data Science Life Cycle —Part 2 4. Deep Dive into AI 5. Applying AI with Structured Data—Banking 6. Applying AI with Structured Data 7. Applying AI with Structured Data—On-Demand Deliveries 8. AI in Natural Language Processing 9. Bringing It All Together

Capitalizing on the Power of Big Data

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Capitalizing on the Power of Big Data by :

Download or read book Capitalizing on the Power of Big Data written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The race is on for big data adoption, with many organizations leading the way while others struggle to understand what it means and determine whether it is right for their organization or function. Break through the big data hype to understand the business implications of this evolving discipline.

Big Data in Small Business

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Publisher : Edward Elgar Publishing
ISBN 13 : 1839100168
Total Pages : 272 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Big Data in Small Business by : Lund Pedersen, Carsten

Download or read book Big Data in Small Business written by Lund Pedersen, Carsten and published by Edward Elgar Publishing. This book was released on 2021-09-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.

What's the Big Idea?

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Publisher : Harvard Business Press
ISBN 13 : 9781578519316
Total Pages : 264 pages
Book Rating : 4.5/5 (193 download)

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Book Synopsis What's the Big Idea? by : Thomas H. Davenport

Download or read book What's the Big Idea? written by Thomas H. Davenport and published by Harvard Business Press. This book was released on 2003 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores where new ideas come from, how to evaluate which ideas are worth pursuing, and how to customize ideas to suit and organization's unique needs.

Your Post Has Been Removed

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Publisher : Springer Nature
ISBN 13 : 3030259684
Total Pages : 295 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Your Post Has Been Removed by : Frederik Stjernfelt

Download or read book Your Post Has Been Removed written by Frederik Stjernfelt and published by Springer Nature. This book was released on 2019-01-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access monograph argues established democratic norms for freedom of expression should be implemented on the internet. Moderating policies of tech companies as Facebook, Twitter and Google have resulted in posts being removed on an industrial scale. While this moderation is often encouraged by governments - on the pretext that terrorism, bullying, pornography, "hate speech" and "fake news" will slowly disappear from the internet - it enables tech companies to censure our society. It is the social media companies who define what is blacklisted in their community standards. And given the dominance of social media in our information society, we run the risk of outsourcing the definition of our principles for discussion in the public domain to private companies. Instead of leaving it to social media companies only to take action, the authors argue democratic institutions should take an active role in moderating criminal content on the internet. To make this possible, tech companies should be analyzed whether they are approaching a monopoly. Antitrust legislation should be applied to bring those monopolies within democratic governmental oversight. Despite being in different stages in their lives, Anne Mette is in the startup phase of her research career, while Frederik is one of the most prolific philosophers in Denmark, the authors found each other in their concern about Free Speech on the internet. The book was originally published in Danish as Dit opslag er blevet fjernet - techgiganter & ytringsfrihed. Praise for 'Your Post has been Removed' "From my perspective both as a politician and as private book collector, this is the most important non-fiction book of the 21st Century. It should be disseminated to all European citizens. The learnings of this book and the use we make of them today are crucial for every man, woman and child on earth. Now and in the future." Jens Rohde, member of the European Parliament for the Alliance of Liberals and Democrats for Europe "This timely book compellingly presents an impressive array of information and analysis about the urgent threats the tech giants pose to the robust freedom of speech and access to information that are essential for individual liberty and democratic self-government. It constructively explores potential strategies for restoring individual control over information flows to and about us. Policymakers worldwide should take heed!" Nadine Strossen, Professor, New York Law School. Author, HATE: Why We Should Resist It with Free Speech, Not Censorship.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII

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Publisher : Springer Nature
ISBN 13 : 3662621991
Total Pages : 139 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2020-08-12 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.

Big Data: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1466698411
Total Pages : 2523 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Big Data: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-04-20 with total page 2523 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

The Secret to Capitalizing on Analytics

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Publisher : Cap.TaiM Marketing Inc.
ISBN 13 : 1796616192
Total Pages : 245 pages
Book Rating : 4.7/5 (966 download)

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Book Synopsis The Secret to Capitalizing on Analytics by : Tarek Riman

Download or read book The Secret to Capitalizing on Analytics written by Tarek Riman and published by Cap.TaiM Marketing Inc.. This book was released on 2019-09-06 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Secret to Capitalizing on Analytics' purpose is to help start-ups, students, beginners and entrepreneurs understand how to use data to optimize and improve their business and marketing strategy. All businesses today, no matter what their size, need to know how their website is performing. Without analytics, there is no way for a company to know how their website is performing in terms of attracting, informing and converting visitors.In this book, you will learn how to get started with Google Analytics and how to set it up for optimal tracking. You will also learn to assess which marketing campaigns bring the best traffic to your website, which pages on your website are the most popular and how to extract information about your visitors. Information such as location, interests, age, behaviours and more so you can better understand your web traffic and capitalize on your marketing. You will also learn how to capitalize on the different trends and tools that are available.

Capitalizing from Data

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Publisher :
ISBN 13 : 9780355763805
Total Pages : pages
Book Rating : 4.7/5 (638 download)

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Book Synopsis Capitalizing from Data by : Shriram Girishkumar Gajjar

Download or read book Capitalizing from Data written by Shriram Girishkumar Gajjar and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: With the advances in communication technologies and the emergence of smart factories, large volumes of data are routinely collected and stored at high sampling rates. The data generation and collection are so fast-paced that humans have to rely on computers for consuming as well as processing the data. This necessitates development of algorithms and methods that can be used to improve process performance and facilitate process monitoring. My research interests are in application of multi-dimensional visualizations, advanced statistical and mathematical algorithms tailored to extract meaningful information from large data-sets collected in industrial plant operations and scientific experiments. These algorithms will at first, be able to unlock significant information from the large datasets. Second, they will provide accurate means to reduce process variability and boost performance. Third, they will allow discovery of the underlying process dynamics that can substantially improve decision-making. Finally, they will provide recommendations for steps that can be taken proactively to avoid sub-optimal and abnormal operations. Methods: 1. Visualization: A control chart is one of the primary techniques for statistical process monitoring of real-time data. However, monitoring hundreds of variables simultaneously using univariate control charts is difficult. An approach based on parallel coordinates is developed to address this challenge. 2. Data dimension reduction: Principal component analysis (PCA), a widely used multivariate technique with various applications ranging from facial recognition to clustering is implemented. One of the drawbacks of using PCA for dimension reduction is that most variable loadings are typically non-zero. Such non-zero variable loadings (NZL) make it difficult to interpret the derived principal components and may confound subsequent analyses. To address this challenge, Sparse Principal Component Analysis (SPCA) is used but specifying number of NZL for each sparse principal component is a numerically hard combinatorial problem. Evolutionary algorithms in conjunction with SPCA are implemented to tackle such combinatorial optimization problems and gain insights about the underlying dynamics of the data. Least Squares SPCA (LS SPCA) is then introduced wherein uncorrelatedness constraints on the components are imposed to obtain uncorrelated sparse loadings 3. Real-time analytics: A novel real-time fault detection, machine learning based diagnosis is developed. Summary: This dissertation, at first, will focus on determination of number of non-zero loadings in SPCA. Second, it will compare the performance of SPCA with PCA for process monitoring that also enables process knowledge discovery. Lastly, parallel coordinates and LS SPCA are introduced for process monitoring and validity of the proposed techniques will be demonstrated through a benchmark process simulator. Keywords: Fault detection, Fault diagnosis, Random Forests, Singular value decomposition, Principal component analysis (PCA), Sparse principal component analysis (SPCA), Least Squares Sparse principal component analysis (LS SPCA), Multivariate statistical process monitoring, Multidimensional visualization, Genetic Algorithms, Random Forests, Big Data, Historical data analysis, Tennessee Eastman process.

Data Capital

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Publisher : Springer Nature
ISBN 13 : 3030601927
Total Pages : 376 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Capital by : Chunlei Tang

Download or read book Data Capital written by Chunlei Tang and published by Springer Nature. This book was released on 2021-01-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines and develops the concept of data capital. Using an interdisciplinary perspective, this book focuses on the key features of the data economy, systematically presenting the economic aspects of data science. The book (1) introduces an alternative interpretation on economists’ observation of which capital has changed radically since the twentieth century; (2) elaborates on the composition of data capital and it as a factor of production; (3) describes morphological changes in data capital that influence its accumulation and circulation; (4) explains the rise of data capital as an underappreciated cause of phenomena from data sovereign, economic inequality, to stagnating productivity; (5) discusses hopes and challenges for industrial circles, the government and academia when an intangible wealth brought by data (and information or knowledge as well); (6) proposes the development of criteria for measuring regulating data capital in the twenty-first century for regulatory purposes by looking at the prospects for data capital and possible impact on future society. Providing the first a thorough introduction to the theory of data as capital, this book will be useful for those studying economics, data science, and business, as well as those in the financial industry who own, control, or wish to work with data resources.

Strategy is Digital

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Publisher : Springer
ISBN 13 : 3319311328
Total Pages : 151 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Strategy is Digital by : Carlos Cordon

Download or read book Strategy is Digital written by Carlos Cordon and published by Springer. This book was released on 2016-06-01 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents strategies and practices to allow everyday companies to cope with the fundamentally changing landscape of business models and to take advantage of the huge business opportunities arising from the advent of big data. It develops several case studies from companies in traditional industries like LEGO, Yamato and Mediq, but also examines small start-ups like Space Tango, which is partnering with major multinationals to develop new business models using big data. The book argues that businesses need to adapt and embark on their big data journey, helps them take the first step, and guides them along their way. It presents successful examples and deducts essential takeaway lessons from them, equipping executives to capitalize on big data and enabling them to make intelligent decisions in the big data transformation, giving their companies an essential competitive edge.

Technosleep

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Publisher : Springer Nature
ISBN 13 : 303130599X
Total Pages : 216 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Technosleep by : Catherine Coveney

Download or read book Technosleep written by Catherine Coveney and published by Springer Nature. This book was released on 2023-06-25 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book draws on a variety of substantive examples from science, technology, medicine, literature, and popular culture to highlight how a new technoscientifically mediated and modified phase and form of technosleep is now in the making – in the global north at least; and to discuss the consequences for our relationships to sleep, the values we accord sleep and the very nature and normativities of sleep itself.The authors discuss how technosleep, at its simplest denotes the ‘coming together’ or ‘entanglements’ of sleep and technology and sensitizes us to various shifts in sleep–technology relations through culture, time and place. In doing so, it pays close attention to the salience and significance of these trends and transformations to date in everyday/night life, their implications for sleep inequalities and the related issues of sleep and social justice they suggest.

New Horizons for a Data-Driven Economy

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Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Proceedings of the 10th International Conference on Intellectual Capital, knowledge Management and Organisational Learning

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Publisher : Academic Conferences Limited
ISBN 13 : 1909507776
Total Pages : 702 pages
Book Rating : 4.9/5 (95 download)

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Book Synopsis Proceedings of the 10th International Conference on Intellectual Capital, knowledge Management and Organisational Learning by : Dr Annie Green

Download or read book Proceedings of the 10th International Conference on Intellectual Capital, knowledge Management and Organisational Learning written by Dr Annie Green and published by Academic Conferences Limited. This book was released on 2013-01-09 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data and Hadoop

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Publisher : KHANNA PUBLISHING
ISBN 13 : 938260913X
Total Pages : 655 pages
Book Rating : 4.3/5 (826 download)

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Book Synopsis Big Data and Hadoop by : VK Jain

Download or read book Big Data and Hadoop written by VK Jain and published by KHANNA PUBLISHING. This book was released on 2017-01-01 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. The book has been written on IBMs Platform of Hadoop framework. IBM Infosphere BigInsight has the highest amount of tutorial matter available free of cost on Internet which makes it easy to acquire proficiency in this technique. This therefore becomes highly vunerable coaching materials in easy to learn steps. The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities. All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume , Hadoop Streaming, Oozie: HBase, HDFS, FlumeNG, Whirr, Cloudera, Fuse , Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.

Big Data in Cognitive Science

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Publisher : Psychology Press
ISBN 13 : 1315413566
Total Pages : 384 pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Big Data in Cognitive Science by : Michael N. Jones

Download or read book Big Data in Cognitive Science written by Michael N. Jones and published by Psychology Press. This book was released on 2016-11-03 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.