Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

This book discusses the characteristics of the demand for energy -- its response overtime to changes in prices and in levels of economic activity and the role that energy plays as aconsumption good an

An exploration of the place of large-scale nutrition programs in planning for national development, particularly in the developing countries and among low-income groups. This book reports the procee

A close reading of Wikipedia’s article on the Egyptian Revolution reveals the complexity inherent in establishing the facts of events as they occur and are relayed to audiences near and far.Wikipedia bills itself as an encyclopedia built on neutrality, authority, and crowd-sourced consensus. Platforms like Google and digital assistants like Siri distribute Wikipedia’s facts widely, further burnishing its veneer of impartiality. But as Heather Ford demonstrates in Writing the Revolution, the facts that appear on Wikipedia are often the result of protracted power struggles over how data are created and used, how history is written and by whom, and the very definition of facts in a digital age. In Writing the Revolution, Ford looks critically at how the Wikipedia article about the 2011 Egyptian Revolution evolved over the course of a decade, both shaping and being shaped by the Revolution as it happened. When data are published in real time, they are subject to an intense battle over thei

The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world―and shape us within that world.With the emergence of a post-truth world, we have witnessed the dissolution of the common ground on which truth claims were negotiated, individual agency enacted, and public spheres shaped. What happens when, as Nietzsche claimed, there are no facts, but only interpretations? In this book, Mark Shepard examines the entanglements of people and data, code and space, knowledge and power that have produced an uncommon ground―a disaggregated public sphere where the extraction of behavioral data and their subsequent processing and sale have led to the emergence of micropublics of ever-finer granularity. Shepard explores how these new post-truth territories are propagated through machine learning systems and social networks, which shape the public and private spaces of everyday life. He traces the balkanization and proliferation of online news and t

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era.How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels―from improving operational effi

A new interpretation of the work of Bramante, suggesting an agenda for contemporary architectural practiceIn On Bramante, architect Pier Paolo Tamburelli considers the work of the celebrated Italian Renaissance architect Donato Bramante and suggests a possible agenda for current architectural practice. Bramante, Tamburelli argues, offers an excellent starting point to imagine a contemporary theory of space, to reflect on the relationship between architecture and politics, and to look back―with neither nostalgia nor contempt―at the tradition of Western classicism. Starting from a discussion of the difference in the work of Bramante in Milan (1481–1499) and Rome (1499–1514), Tamburelli highlights the peculiarities of Bramante’s architecture, especially in comparison to that of his predecessor Leon Battista Alberti and successor Andrea Palladio. This in turn opens up new possibilities for appreciating his spatial experiments, and to derive from Bramante’s abstraction and disassociation

A collection of science fiction stories from the early twentieth century by authors ranging from Arthur Conan Doyle to W. E. B. Du Bois.This collection of science fiction stories from the early twentieth century features work by the famous (Arthur Conan Doyle, creator of Sherlock Holmes), the no-longer famous (“weird fiction pioneer” William Hope Hodgson), and the should-be-more famous (Bengali feminist Rokeya Sakhawat Hossain). It offers stories by writers known for concerns other than science fiction (W. E. B. Du Bois, author of The Souls of Black Folk) and by writers known only for pulp science fiction (the prolific Neil R. Jones). These stories represent what volume and series editor Joshua Glenn has dubbed “the Radium Age”―the period when science fiction as we know it emerged as a genre. The collection shows that nascent science fiction from this era was prescient, provocative, and well written. Readers will discover, among other delights, a feminist utopia predating Charlotte P

How the global financial services sector has been transformed by artificial intelligence, data science, and blockchain. Artificial intelligence, big data, blockchain, and other new technologies have upended the global financial services sector, creating opportunities for entrepreneurs and corporate innovators. Venture capitalists have helped to fund this disruption, pouring nearly $500 billion into fintech over the last five years. This book offers global perspectives on technology-fueled transformations in financial services, with contributions from a wide-ranging group of academics, industry professionals, former government officials, and current government advisors. They examine not only the struggles of rich countries to bring the old analog world into the new digital one but also the opportunities for developing countries to “leapfrog” directly into digital. The book offers accessible explanations of blockchain and distributed ledger technology and explores big data analytics

A concise illustrated introduction to the history and physics of supernovae, the brilliant explosions of stars; with striking color illustrations. Supernovae are the explosions of stars. They are some of the most energetic phenomena in the Universe, rivaling the combined light of billions of stars. Supernovae have been studied for centuries, and they have also made appearances in popular culture: a glimpse of a supernova in a painting provides Sherlock Holmes with a crucial clue, for example. In this volume in the MIT Press Essential Knowledge series, astrophysicist Or Graur offers a concise and accessible introduction to these awe-inspiring astronomical phenomena. Graur explains that a deep observational understanding of supernovae―why and how they shine and how their brightness changes over time―allows us to use them as tools for experiments in astrophysics and physics. A certain type of supernova, for example, brightens and fades in such a predictable manner that we can measure

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

The new edition of an introduction to the art of computational problem solving using Python.This book introduces students with little or no prior programming experience to the art of computational pro

A data-driven exploration of how children’s language learning varies across different languages, providing both a theoretical framework and reference.The Wordbank Project examines variability and cons

A graduate-level textbook that presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification.Verification aims to establish whether a

How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more.Using original data drawn from more than e

Why solving the information problem should be at the core of our pandemic response: essential reading about the long-term implications of our current crisis. COVID-19 is caused by a virus. The COVID-1

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can

The development of psychiatry in the Middle East, viewed through the history of one of the first modern mental hospitals in the region.'Asfuriyyeh (formally, the Lebanon Hospital for the Insane) was f

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability.Drones with night vision are tracking elephant and rhino poachers in African wildlife parks

Drawing on ten years of empirical work and research, analyses of how open development has played out in practice.A decade ago, a significant trend toward openness emerged in international development.

The trajectories of pollution in global capitalism, from the toxic waste of early tanneries to the poisonous effects of pesticides in the twentieth century. Through the centuries, the march of econo

A number of curious communities sprang up across the United States in the late nineteenth and early twentieth century: simulated cities, states, and nations in which children played the roles of legis

Economists offer rigorous quantitative analyses of how the institutional design and purpose of the WTO (and its progenitor, the GATT) affect economic development. The World Trade Organization (WTO)

A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different

A comprehensive overview of developments in augmented reality, virtual reality, and mixed reality-and how they could affect every part of our lives. After years of hype, extended reality-augmented r

An introductory text in linguistic semantics, uniquely balancing empirical coverage and formalism with development of intuition and methodology. This introductory textbook in linguistic semantics fo

How early twentieth-century American policymakers sought to gain control over radiotelegraphy networks in an effort to advance the global position of the United States.In Reluctant Power, Rita Zajácz

Life hacking as self-help for the creative class in the digital age: using systems in pursuit of health, wealth, and productivity.Life hackers track and analyze the food they eat, the hours they sleep

Why an organization's response to digital disruption should focus on people and processes and not necessarily on technology.Digital technologies are disrupting organizations of every size and shape, l

Why technology is not an end in itself, and how cities can be “smart enough,” using technology to promote democracy and equity.Smart cities, where technology is used to solve every problem, are hailed

Imagining a future in which humans fundamentally reshape the natural world using nanotechnology, synthetic biology, de-extinction, and climate engineering.We have all heard that there are no longer an

Identifying a new approach to disaster response: spontaneous, compassionate, and impromptu actions to alleviate suffering.In Spontaneous Venturing, Dean Shepherd and Trenton Williams identify and desc

How data gathered from national conscriptions in pre–World War I Europe influenced understandings of population fitness and redefined society as a collective body.In pre–World War I Europe, individual

How amateur programmers in 1980s Czechoslovakia discovered games as a medium, using them not only for entertainment but also as a means of self-expression.Aside from the exceptional history of Tetris,

Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and

Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.In The AI Advantage, Thomas Davenport offers a guide to using artificial in

The first book to document how artists of the early twentieth century responded to new scientific conceptions of reality.In the early twentieth century, influenced by advances in science that included

How the smartphone can become a personal concierge (not a stalker) in the mobile marketing revolution of smarter companies, value-seeking consumers, and curated offers.Consumers create a data trail by