Homo Ex Data: Design Age Big Data

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Publisher : Red Dot Editions
ISBN 13 : 9783899392272
Total Pages : 72 pages
Book Rating : 4.3/5 (922 download)

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Book Synopsis Homo Ex Data: Design Age Big Data by : Burkhard Jacob

Download or read book Homo Ex Data: Design Age Big Data written by Burkhard Jacob and published by Red Dot Editions. This book was released on 2020-03-06 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: - The symposium Homo ex Data - Design in the Age of Big Data and this publication mark the launch of the Red Dot Network pilot project on topical issues such as Big Data, the Internet of Things, Artificial Intelligence, Augmented Reality and Virtual Reality from a design perspective The development of social media, online services, smartphones and devices, autonomous vehicles and robots has meant that both software and hardware, programs and products, as well as computers and machines are increasingly participating in human communication. A new artificial intelligence is evolving that no longer tries to copy natural human intelligence, but incessantly collects data we make available to it by using the Internet and owning smart and mobile appliances. With the help of algorithms, behavior patterns are identified, and predictions made whose significance increase with the amount of data we supply. The articles in this book, which have been written for the symposium Homo ex Data - Design in the Age of Big Data, also show that we have more decisions to make about the subject of artificial intelligence than just those about 0 and 1. Designers whose views are expressed in this anthology and who are closely involved with the design of digital media and products will have to make further decisions if they wish to shape human activity, behavior and experience. This realization is reflected in the breadth and scope of the various contributions. Also available: Homo ex Data: The Natural of the Artificial ISBN 9783899392012 Contents: Peter Zec: Homo ex Data - The Natural of the Artificial; Luisa Bocchietto: Design is changing; Sylvia Vitale Rotta: Emotion is Key for People; Carlos Hinrichsen: A Vision how Artificial Intelligence is transforming our World led by Design; Kazuo Tanaka: Artificial Intelligence and Big Data have no Heart; Annette Lang: How does the Internet of Things affect Designers?; Yuri Nazarov: Some Words about Robot Shaping; Annette Lang: How do Augmented Reality, Virtual Reality and Mixed Reality affect Designers?; Dirk Schumann: Inspirations from the Digital World; Stefan Eckstein: Emotion and Intuition - The Intelligence of the Future.

Exploring the Boundaries of Big Data

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Publisher :
ISBN 13 : 9789462983588
Total Pages : 0 pages
Book Rating : 4.9/5 (835 download)

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Book Synopsis Exploring the Boundaries of Big Data by : Bart van der Sloot

Download or read book Exploring the Boundaries of Big Data written by Bart van der Sloot and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.

The Data Science Design Manual

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Publisher : Springer
ISBN 13 : 3319554441
Total Pages : 456 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis The Data Science Design Manual by : Steven S. Skiena

Download or read book The Data Science Design Manual written by Steven S. Skiena and published by Springer. This book was released on 2017-07-01 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

The Age of Algorithms

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Publisher : Cambridge University Press
ISBN 13 : 1108655947
Total Pages : 168 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis The Age of Algorithms by : Serge Abiteboul

Download or read book The Age of Algorithms written by Serge Abiteboul and published by Cambridge University Press. This book was released on 2020-04-01 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are probably the most sophisticated tools that people have had at their disposal since the beginnings of human history. They have transformed science, industry, society. They upset the concepts of work, property, government, private life, even humanity. Going easily from one extreme to the other, we rejoice that they make life easier for us, but fear that they will enslave us. To get beyond this vision of good vs evil, this book takes a new look at our time, the age of algorithms. Creations of the human spirit, algorithms are what we made them. And they will be what we want them to be: it's up to us to choose the world we want to live in.

Database Design and Implementation

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Publisher : Springer Nature
ISBN 13 : 3030338363
Total Pages : 468 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Database Design and Implementation by : Edward Sciore

Download or read book Database Design and Implementation written by Edward Sciore and published by Springer Nature. This book was released on 2020-02-27 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway? The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it.

Data Analysis Using SQL and Excel

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Publisher : John Wiley & Sons
ISBN 13 : 0470952520
Total Pages : 698 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Data Analysis Using SQL and Excel by : Gordon S. Linoff

Download or read book Data Analysis Using SQL and Excel written by Gordon S. Linoff and published by John Wiley & Sons. This book was released on 2010-09-16 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

Introduction to Data Science

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Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 836 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Big Data

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Publisher : CRC Press
ISBN 13 : 1498734871
Total Pages : 449 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data by : Fei Hu

Download or read book Big Data written by Fei Hu and published by CRC Press. This book was released on 2016-04-27 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

An Introduction to Categorical Data Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 393 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Homo Deus

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Publisher : HarperCollins
ISBN 13 : 0062464353
Total Pages : 464 pages
Book Rating : 4.0/5 (624 download)

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Book Synopsis Homo Deus by : Yuval Noah Harari

Download or read book Homo Deus written by Yuval Noah Harari and published by HarperCollins. This book was released on 2017-02-21 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Official U.S. edition with full color illustrations throughout. NEW YORK TIMES BESTSELLER Yuval Noah Harari, author of the critically-acclaimed New York Times bestseller and international phenomenon Sapiens, returns with an equally original, compelling, and provocative book, turning his focus toward humanity’s future, and our quest to upgrade humans into gods. Over the past century humankind has managed to do the impossible and rein in famine, plague, and war. This may seem hard to accept, but, as Harari explains in his trademark style—thorough, yet riveting—famine, plague and war have been transformed from incomprehensible and uncontrollable forces of nature into manageable challenges. For the first time ever, more people die from eating too much than from eating too little; more people die from old age than from infectious diseases; and more people commit suicide than are killed by soldiers, terrorists and criminals put together. The average American is a thousand times more likely to die from binging at McDonalds than from being blown up by Al Qaeda. What then will replace famine, plague, and war at the top of the human agenda? As the self-made gods of planet earth, what destinies will we set ourselves, and which quests will we undertake? Homo Deus explores the projects, dreams and nightmares that will shape the twenty-first century—from overcoming death to creating artificial life. It asks the fundamental questions: Where do we go from here? And how will we protect this fragile world from our own destructive powers? This is the next stage of evolution. This is Homo Deus. With the same insight and clarity that made Sapiens an international hit and a New York Times bestseller, Harari maps out our future.

Product Design and Life Cycle Assessment

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Publisher : Baltic University Press
ISBN 13 : 9197552623
Total Pages : 314 pages
Book Rating : 4.1/5 (975 download)

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Book Synopsis Product Design and Life Cycle Assessment by : Ireneusz Zbicinski

Download or read book Product Design and Life Cycle Assessment written by Ireneusz Zbicinski and published by Baltic University Press. This book was released on 2006 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Homo Irrealis

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Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374720215
Total Pages : 256 pages
Book Rating : 4.3/5 (747 download)

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Book Synopsis Homo Irrealis by : André Aciman

Download or read book Homo Irrealis written by André Aciman and published by Farrar, Straus and Giroux. This book was released on 2021-01-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The New York Times–bestselling author of Find Me and Call Me by Your Name returns to the essay form with his collection of thoughts on time, the creative mind, and great lives and works Irrealis moods are a category of verbal moods that indicate that certain events have not happened, may never happen, or should or must or are indeed desired to happen, but for which there is no indication that they will ever happen. Irrealis moods are also known as counterfactual moods and include the conditional, the subjunctive, the optative, and the imperative—all best expressed in this book as the might-be and the might-have-been. One of the great prose stylists of his generation, André Aciman returns to the essay form in Homo Irrealis to explore what time means to artists who cannot grasp life in the present. Irrealis moods are not about the present or the past or the future; they are about what might have been but never was but could in theory still happen. From meditations on subway poetry and the temporal resonances of an empty Italian street to considerations of the lives and work of Sigmund Freud, C. P. Cavafy, W. G. Sebald, John Sloan, Éric Rohmer, Marcel Proust, and Fernando Pessoa and portraits of cities such as Alexandria and St. Petersburg, Homo Irrealis is a deep reflection on the imagination’s power to forge a zone outside of time’s intractable hold.

Karl Polanyi

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Publisher : Polity
ISBN 13 : 0745640710
Total Pages : 320 pages
Book Rating : 4.7/5 (456 download)

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Book Synopsis Karl Polanyi by : Gareth Dale

Download or read book Karl Polanyi written by Gareth Dale and published by Polity. This book was released on 2010-06-21 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Karl Polanyi’s The Great Transformation is generally acclaimed as being among the most influential works of economic history in the twentieth century, and remains as vital in the current historical conjuncture as it was in his own. In its critique of nineteenth-century ‘market fundamentalism’ it reads as a warning to our own neoliberal age, and is widely touted as a prophetic guidebook for those who aspire to understand the causes and dynamics of global economic turbulence at the end of the 2000s. Karl Polanyi: The Limits of the Market is the first comprehensive introduction to Polanyi’s ideas and legacy. It assesses not only the texts for which he is famous – prepared during his spells in American academia – but also his journalistic articles written in his first exile in Vienna, and lectures and pamphlets from his second exile, in Britain. It provides a detailed critical analysis of The Great Transformation, but also surveys Polanyi’s seminal writings in economic anthropology, the economic history of ancient and archaic societies, and political and economic theory. Its primary source base includes interviews with Polanyi’s daughter, Kari Polanyi-Levitt, as well as the entire compass of his own published and unpublished writings in English and German. This engaging and accessible introduction to Polanyi’s thinking will appeal to students and scholars across the social sciences, providing a refreshing perspective on the roots of our current economic crisis.

Data Analysis and Research for Sport and Exercise Science

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Publisher : Routledge
ISBN 13 : 1134439008
Total Pages : 205 pages
Book Rating : 4.1/5 (344 download)

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Book Synopsis Data Analysis and Research for Sport and Exercise Science by : Craig Williams

Download or read book Data Analysis and Research for Sport and Exercise Science written by Craig Williams and published by Routledge. This book was released on 2004-08-02 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis and Research for Sport and Exercise Science is tailored to suit undergraduate sports and exercise science students seeking a clear understanding of data and statistics to support their scientific research. The text is divided into three main areas: Research and Design, Data Analysis and the Interpretation of Findings. Topics covered in the book include: * introduction to the scientific research method * the literature review * developing your research question and experimental design * using statistical analysis to interpret results * presentation of your data * discussing your results and drawing conclusions. Both authors have supervised many student dissertations and have an excellent understanding of the concerns and pitfalls facing those new to this field.

Measuring Culture

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Publisher : Columbia University Press
ISBN 13 : 0231542585
Total Pages : 290 pages
Book Rating : 4.2/5 (315 download)

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Book Synopsis Measuring Culture by : John W. Mohr

Download or read book Measuring Culture written by John W. Mohr and published by Columbia University Press. This book was released on 2020-08-11 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social scientists seek to develop systematic ways to understand how people make meaning and how the meanings they make shape them and the world in which they live. But how do we measure such processes? Measuring Culture is an essential point of entry for both those new to the field and those who are deeply immersed in the measurement of meaning. Written collectively by a team of leading qualitative and quantitative sociologists of culture, the book considers three common subjects of measurement—people, objects, and relationships—and then discusses how to pivot effectively between subjects and methods. Measuring Culture takes the reader on a tour of the state of the art in measuring meaning, from discussions of neuroscience to computational social science. It provides both the definitive introduction to the sociological literature on culture as well as a critical set of case studies for methods courses across the social sciences.

Handbook of Data Visualization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540330372
Total Pages : 932 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Handbook of Data Visualization by : Chun-houh Chen

Download or read book Handbook of Data Visualization written by Chun-houh Chen and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

Introduction to Data Science

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Publisher : Springer
ISBN 13 : 3319500171
Total Pages : 227 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Introduction to Data Science by : Laura Igual

Download or read book Introduction to Data Science written by Laura Igual and published by Springer. This book was released on 2017-02-22 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.