And while art criticism is ubiquitous in newspapers, magazines, and exhibition brochures, it is also virtually absent from academic writing. How is it that even as criticism drifts away from academia, it becomes more academic? How is it that sifting through a countless array of colorful periodicals and catalogs makes criticism seem to slip even further from our grasp? In this pamphlet, James Elkins surveys the last fifty years of art criticism, proposing some interesting explanations for these startling changes."In What Happened to Art Criticism?, art historian James Elkins sounds the alarm about the perilous state of that craft, which he believes is 'In worldwide crisis . . . dissolving into the background clutter of ephemeral cultural criticism' even as more and more people are doing it. 'It's dying, but it's everywhere . . . massively produced, and massively ignored.' Those who pay attention to other sorts of criticism may recognize the problems Elkins describes: 'Local judgments are preferred to wider ones, and recently judgments themselves have even come to seem inappropriate. In their place critics proffer informal opinions or transitory thoughts, and they shy from strong commitments.' What he'd like to see more of: ambitious judgment, reflection about judgment itself, and 'criticism important enough to count as history, and vice versa.' Amen to that."—Jennifer Howard, Washington Post Book World

    Joan Bolker, midwife to more than one hundred dissertations and co-founder of the Harvard Writing Center, offers invaluable suggestions for the graduate-student writer. Using positive reinforcement, she begins by reminding thesis writers that being able to devote themselves to a project that truly interests them can be a pleasurable adventure. She encourages them to pay close attention to their writing method in order to discover their individual work strategies that promote productivity; to stop feeling fearful that they may disappoint their advisors or family members; and to tailor their theses to their own writing style and personality needs. Using field-tested strategies she assists the student through the entire thesis-writing process, offering advice on choosing a topic and an advisor, on disciplining one's self to work at least fifteen minutes each day; setting short-term deadlines, on revising and defing the thesis, and on life and publication after the dissertation. Bolker makes writing the dissertation an enjoyable challenge.

    Why are storytellers so often women, and how does that affect the status of fairy tales? Are they a source of wisdom or a misleading temptation to indulge in romancing?

    An analysis of Victorian women writers, this pathbreaking book of feminist literary criticism is now reissued with a substantial new introduction by Sandra Gilbert and Susan Gubar that reveals the origins of their revolutionary realization in the 1970s that "the personal was the political, the sexual was the textual."Contents:The Queen's looking glass: female creativity, male images of women, and the metaphor of literary paternity --Infection in the sentence: the women writer and the anxiety of authorship --The parables of the cave --Shut up in prose: gender and genre in Austen's Juvenilia --Jane Austen's cover story (and its secret agents) --Milton's bogey: patriarchal poetry and women readers --Horror's twin: Mary Shelley's monstrous Eve --Looking oppositely: Emily Brontë's bible of hell --A secret, inward wound: The professor's pupil --A dialogue of self and soul: plain Jane's progress --The genesis of hunger, according to Shirley --The buried life of Lucy Snowe --Made keen by loss: George Eliot's veiled vision --George Eliot as the angel of destruction --The aesthetics of renunciation --A woman, white: Emily Dickinson's yarn of pearl.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    A how-to guide to classroom inquiry that takes educators through the research process step by step, answering each critical question from where do I begin? through publishing the results.

    It is a book that models the types of issues that best suit different approaches and allows students to understand when to use mixed methods. Furthermore, its focus on theory and paradigms is done in a way that helps students decode their meaning." --MARTHA MONTERO-SIEBURTH, University of Massachusetts, BostonNew to the Second Edition:Because mixed methods research has come into its own since the publication of the first edition, every chapter now shows how to implement a mixed methods design in your proposal or plan as well as showing how to implement qualitative and quantitative approaches Ethical issues that may arise in quantitative, qualitative and mixed methods designs have been added to a new section in Chapter 3 Writing tips and considerations have been expanded and moved to the first part of the book to get your research plan started in the right direction The latest developments in qualitative inquiry, including advocacy, participatory, and emancipatory approaches have been added to Chapter 10 Mixed methods procedures (Chapter 11) show readers how to identify types of mixed methods strategy, select data collection and analysis approaches, and plan the overall structure of the study

    Destination Dissertation is a handbook that helps students successfully develop and complete their dissertations. It uses travel as a metaphor framing the process as an exciting trip of 29 steps that can be completed in less than nine months. Designed for use by students in all disciplines and for both quantitative and qualitative dissertations, the book shows concrete and efficient processes for completing those parts of the dissertation where students tend to get stuck, from conceptualizing a topic to editing the final work. It includes a wealth of real-life examples from throughout the dissertation process, such as creating the proposal and coding data. This time-tested method comes from the authors' successful work at the Denver-based Scholars' Retreat. Essential for all PhD candidates!

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    It provides clear, simple explanations and concrete examples of complex concepts, making a wide variety of commonly used critical theories accessible to novices without sacrificing any theoretical rigor or thoroughness.This new edition provides in-depth coverage of the most common approaches to literary analysis today: feminism, psychoanalysis, Marxism, reader-response theory, new criticism, structuralism and semiotics, deconstruction, new historicism, cultural criticism, lesbian/gay/queer theory, African American criticism, and postcolonial criticism. The chapters provide an extended explanation of each theory, using examples from everyday life, popular culture, and literary texts; a list of specific questions critics who use that theory ask about literary texts; an interpretation of F. Scott Fitzgerald's The Great Gatsby through the lens of each theory; a list of questions for further practice to guide readers in applying each theory to different literary works; and a bibliography of primary and secondary works for further reading.

    The debate had engaged the European literary community since the 1930s; with this fierce manifesto, Barthes challenged the notion of literature's obligation to be socially committed. Yes, Barthes allows, the writer has a political and ethical responsibility. But the history of French literature shows that the writer has often failed to meet it—and from his perspective, literature is committed to little more than the myth of itself. Expert and uncompromising, Writing Degree Zero introduced the themes that would soon establish Barthes as one of the leading voices in literary criticism.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    In this third edition of The Oxford Guide to Library Research, Thomas Mann maps out an array not just of important databases and print sources, but of several specific search techniques that can be applied profitably in any area of research. From academic resources to government documents to manuscripts in archives to business Web sites, Mann shows readers how best to exploit controlled subject headings, explains why browsing library shelves is still important in an online age, demonstrates how citation searching and related record searching produce results far beyond keyword inquiries, and offers practical tips on making personal contacts with knowledgeable people. Against the trendy but mistaken assumption that "everything" can be found on the Internet, Mann shows the lasting value of physical libraries and the unexpected power of traditional search mechanisms, while also providing the best overview of the new capabilities of computer indexing. Throughout the book Mann enlivens his advice with real-world examples derived from his experience of having helped thousands of researchers, with interests in all subjects areas, over a quarter century. Along the way he provides striking demonstrations and powerful arguments against those theorists who have mistakenly announced the demise of print. Essential reading for students, scholars, professional researchers, and laypersons, The Oxford Guide to Library Research offers a rich, inclusive overview of the information field, one that can save researchers countless hours of frustration in the search for the best sources on their topics.

      Nuzum identifies core principles, including what he considers the key to successful audio storytelling: learning to think the way your audience listens. He delivers essential how-tos, from conducting an effective interview to marketing your podcast, developing your audience, and managing a creative team. He also taps into his deep network to offer advice from audio stars like Ira Glass, Terry Gross, and Anna Sale.   The book’s insights and guidance will help readers successfully express themselves as effective audio storytellers, whether for business or pleasure, or a mixture of both.

    In considering such aspects, the author goes beyond the domain of pure aesthetics and offers an interpretation of some basic cultural problems of our time.