Learners in a Changing Learning Landscape, Jan Visser; Muriel Visser-Valfrey
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: MIT Press Рейтинг: Цена: 18622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: William Herring Название: Learning Radiology: Recognizing the Basics, 3rd Edition ISBN: 0323328075 ISBN-13(EAN): 9780323328074 Издательство: Elsevier Science Рейтинг: Цена: 6336.00 р. Наличие на складе: Поставка под заказ.
Описание: A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging modalities. Skilled radiology teacher William Herring, MD, masterfully covers exactly what you need to know to effectively interpret medical images of all modalities. Learn the latest on ultrasound, MRI, CT, patient safety, dose reduction, radiation protection, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images.
Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at Student Consult. Identify a wide range of common and uncommon conditions based upon their imaging findings. Arrive at diagnoses by following a pattern recognition approach, and logically overcome difficult diagnostic challenges with the aid of decision trees.
Quickly grasp the fundamentals you need to know through more than 700 images and an easy-to-use format and pedagogy, including: bolding of key points and icons designating special content; Diagnostic Pitfalls; Really, Really Important Points; Weblinks; and Take-Home Points. Gauge your mastery of the material and build confidence with extra images, bonus content, interactive self-assessment exercises, and USMLE-style Q&A that provide effective chapter review and quick practice for your exams. Apply the latest recommendations on patient safety, dose reduction and radiation protection Benefit from the extensive knowledge and experience of esteemed author Dr.
William Herring-a skilled radiology teacher and the host of his own specialty website, www.learningradiology.com. Stay current in the latest advancements and developments with meticulous updates throughout including a new chapter on Pediatric Radiology as well as more than 60 new and updated photos, many highlighting newer imaging modalities. Maximize your learning experience with interactive Student Consult extras videos/images of 3D images, functional imaging examinations, dynamic studies, and additional assessments.
Student Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, references, and videos from the book on a variety of devices.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Описание: The 2012 presidential elections represented the second consecutive defeat for the Republican Party, and the fourth defeat out of the last six presidential elections. In recent years both Republican and Democratic strategists and pundits have spoken of an emerging Democratic Party "lock" on the Electoral College and speculated that even in the wake of Republican victories in Congress, presidential candidates are still at a major disadvantage due to the party's increasing demographic and geographic isolation. This prediction flies in the face of population shifts of the last several decades from Democratic regions (Upper-Midwest and Northeast) to Republican-leaning regions (South and Southwest); at the same time, it seems to follow from demographic changes favoring an increase in the minority vote. In fact, there is an initiative to convert Texas to a Democratic state by mobilizing Latino and Black voters. In Altered States, Thomas Holbrook looks at electoral change in presidential elections since 1972, documenting the magnitude, direction, and consequences of changes in party support in the states. He finds that the Democrats do not have a "lock" on the Electoral College, but that their position has improved dramatically over the past forty years in a number of formerly competitive or Republican-leaning states in the Northeast, Southeast, and Southwest. Republican candidates have made many fewer gains, mostly improving their position in "misplaced," formerly Democratic states, such as Kentucky and West Virginia, or in already deeply Republican states in the Plains and Mountain West. Holbrook looks at the ways that changes in the racial and ethnic composition of the state electorates, migratory patterns from large Democratic states to Republican-leaning states, and changes in the public's level of education and occupational status, state party identification, and ideology drive these changes. Additionally, he explores the extent to which the Republican "problem" stems from the geographic concentration of party support. While Democratic concentration in major metropolitan areas tends to put them at a disadvantage in House races, as Republican votes increasingly are concentrated in fewer states where they win by wider margins, they may be "wasting" more Electoral College votes than Democrats, whose supporters are more efficiently distributed.
Автор: Aarons Victoria, Patt Avinoam J., Shechner Mark Название: The New Diaspora: The Changing Landscape of American Jewish Fiction ISBN: 0814340555 ISBN-13(EAN): 9780814340554 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4513.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Edward Lewis Wallant Award was founded by the family of Dr. Irving and Fran Waltman in 1963 and is supported by the University of Hartford’s Maurice Greenberg Center for Judaic Studies. It is given annually to an American writer, preferably early in his or her career, whose fiction is considered significant for American Jews. In The New Diaspora: The Changing Landscape of American Jewish Fiction, editors Victoria Aarons, Avinoam J. Patt, and Mark Shechner who have all served as judges for the award, present vital, original, and wide-ranging fiction by writers whose work has been considered or selected for the award. The resulting collection highlights the exemplary place of the Wallant Award in Jewish literature.With a mix of stories and novel chapters, The New Diaspora reprints selections of short fiction from such well-known writers as Rebecca Goldstein, Nathan Englander, Jonathan Safran Foer, Dara Horn, Julie Orringer, and Nicole Krauss. The first half of the anthology presents pieces by winnners of the Wallant award, focusing on the best work of recent winners. The New Diaspora’s second half reflects the evolving landscape of American Jewish fiction over the last fifty years, as many authors working in America are not American by birth, and their fiction has become more experimental in nature. Pieces in this section represent authors with roots all over the world - including Russia (Maxim Shrayer, Nadia Kalman, and Lara Vapnyar), Latvia (David Bezmozgis), South Africa (Tony Eprile), Canada (Robert Majzels), and Israel (Avner Mandelman, who now lives in Canada).This collection offers an expanded canon of Jewish writing in North America and foregrounds a vision of its variety, its uniqueness, its cosmopolitanism, and its evolving perspectives on Jewish life. It celebrates the continuing vitality and fresh visions of contemporary Jewish writing, even as it highlights its debt to history and embrace of collective memory. Readers of contemporary American fiction and Jewish cultural history will find The New Diaspora enlightening and deeply engaging.Contributors Include: Edith Pearlman, Sara Houghteling, Eileen Pollack, Ehud Havazelet, Nicole Krauss, Jonathan Rosen, Joan Leegant, Dara Horn, Myla Goldberg, Harvey Grossinger, Thane Rosenbaum, Rebecca Goldstein, Melvin Bukiet, Tova Reich, Steve Stern, Francine Prose, Nadia Kalman, Maxim Shrayer, David Bezmozgis, Avner Mandelman, Joseph Epstein, Scott Nadelson, Margot Singer, Jonathan Safran Foer, Aryeh Lev Stollman, Gerald Shapiro, Joshua Henkin, Curt Leviant, Robert Majzels, Tony Eprile, Rachel Kadish, Nathan Englander, Lara Vapnyar, Julie Orringer, Joseph Skibell, Peter Orner, Jonathon Keats.
Описание: Reflecting the anticipated shortage of physicians (especially those involved in women`s health care) in the USA, this volume focuses on strategic planning, with material on changing demographics, the hidden value of part-time faculty, and staff retention.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Автор: Gaillet Название: Scholarly Publication in a Changing Academic Landscape ISBN: 1137429143 ISBN-13(EAN): 9781137429148 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: More publication by contingent faculty, Guglielmo and Gaillet contend, enriches and deepens both the scholarly conversation and individual faculty`s work as teacher-scholars. They provide a guide for scholars off the tenure track, addressing the publication process step by step and showing its compatibility with teaching-focused scholarship.
Описание: Since 2005 a dozen states and more than 15 specialties have reported a physician shortage or anticipate one in the next few years. This anticipated shortage and a worsening of physician distribution are compounded by a projected increased demand for women’s healthcare services.Women’s healthcare is particularly vulnerable, because the obstetrician-gynecologist workforce is aging and is among the least satisfied medical specialists. Furthermore, fellowship training in women’s healthcare in internal medicine and in maternal child health in family and community medicine involves only a small portion of general internists and family physicians.In response to this challenge, the Association of American Medical Colleges called for an expansion of medical schools and graduate medical education enrollments. As we cope with significant and rapid changes in organizations and reimbursement, academic departments of obstetrics and gynecology, family and community medicine, and internal medicine have opportunities to create a unified women’s health curriculum for undergraduate students, share preventive health and well-woman expertise in training programs, provide improved continuity of care, instill concepts of lifelong learning to our graduates, and better develop our research programs. This volume’s chapters focus on strategic planning on behalf of academic faculty who will train the anticipated additional load of students, residents, and fellows in women’s healthcare. -changing demographics of faculty -expanding roles of clinician educators -physician investigators and their future -the hidden value of part-time faculty -faculty salaries -required skillsets of academic leaders -the meaning of tenure and faculty satisfaction and retention.Recommendations presented here from authors with distinguished leadership skills indicate a consensus, but not unanimity. In furthering these goals, we summarize in the final chapter our collective expertise and offer ways to implement recommendations to better prepare for tomorrow’s needs in academic women’s healthcare.
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