Download or read book Engagements with Narrative written by Janine Utell and published by Routledge. This book was released on 2015-10-08 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Balancing key foundational topics with new developments and trends, Engagements with Narrative offers an accessible introduction to narratology. As new narrative forms and media emerge, the study of narrative and the ways people communicate through imagination, empathy, and storytelling is especially relevant for students of literature today. Janine Utell presents the foundational texts, key concepts, and big ideas that form narrative theory and practical criticism, engaging readers in the study of stories by telling the story of a field and its development. Distinct features designed to initiate dialogue and debate include: Coverage of philosophical and historical contexts surrounding the study of narrative An introduction to essential thinkers along with the tools to both use and interrogate their work A survey of the most up-to-date currents, including mind theory and postmodern ethics, to stimulate conversations about how we read fiction, life writing, film, and digital media from a variety of perspectives. A selection of narrative texts, chosen to demonstrate critical practice and spark further reading and research "Engagement" sections to encourage students to engage with narrative theory and practice through interviews with scholars This guide teaches the key concepts of narrative—time, space, character, perspective, setting—while facilitating conversations among different approaches and media, and opening paths to new inquiry. Engagements with Narrative is ideal for readers needing an introduction to the field, as well as for those seeking insight into both its historical developments and new directions.

Download or read book Publication Manual of the American Psychological Association written by American Psychological Association and published by American Psychological Association (APA). This book was released on 2019-10 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, and educators in the social and behavioral sciences, nursing, education, business, and related disciplines.

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Download or read book PUBLICATION MANUAL OF THE AMERICAN PSYCHOLOGICAL ASSOCIATION written by AMERICAN PSYCHOLOGICAL ASSOCIATION. and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Losing It All to Sprawl written by Bill Belleville and published by University Press of Florida. This book was released on 2006-03-27 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Losing It All to Sprawl is the poignant chronicle of award-winning nature writer Bill Belleville and how he came to understand and love his historic Cracker farmhouse and "relic" neighborhood in central Florida, even as it was all wiped out from under him. Belleville's narrative is eloquent, informed, and impassioned, a saga in which tractors and backhoes trample through the woods next to his home in order to build the backbone of Florida sprawl--the mall. As heavy machinery encircles Belleville and his community--the noise growing louder and closer, displacing everything Belleville has called home for the past fifteen years--he tells a story that is much older, 10,000 years older. The story stretches back to the Timucua and the Mayaca living in harmony with Florida's environment; the conquistadors who expected much from, but also feared, this "land of flowers"; the turn-of-the-century tourists "modernizing" and "climatizing" the state; the original Cracker families who lived in Belleville's farmhouse. In stark contrast to this millennia-long transformation is the whiplash of unbridled growth and development that threatens the nearby wilderness of the Wekiva River system, consuming Belleville's home and, ultimately, his very sense of place. In Florida, one of the nation's fastest growing states (and where local and state governments encourage growth), balancing use with preservation is an uphill battle. Sprawl spreads into the countryside, consuming not just natural lands but Old Florida neighborhoods and their unique history. In Losing It All to Sprawl, Belleville accounts for the impacts--social, political, natural, personal--that a community in the crosshairs of unsustainable growth ultimately must bear, but he also offers Floridians, and anyone facing the blight of urban confusion, the hope that can be found in the rediscovery and appreciation of the natural landscape.

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Download or read book Two spirit People written by Sue-Ellen Jacobs and published by University of Illinois Press. This book was released on 1997 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This landmark book combines the voices of Native Americans and non-Indians, anthropologists and others, in an exploration of gender and sexuality issues as they relate to lesbian, gay, transgendered, and other "marked" Native Americans. Focusing on the concept of two-spirit people--individuals not necessarily gay or lesbian, transvestite or bisexual, but whose behaviors or beliefs may sometimes be interpreted by others as uncharacteristic of their sex--this book is the first to provide an intimate look at how many two-spirit people feel about themselves, how other Native Americans treat them, and how anthropologists and other scholars interpret them and their cultures. 1997 Winner of the Ruth Benedict Prize for an edited book given by the Society of Lesbian and Gay Anthropologists.

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Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

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Download or read book Ask a Manager written by Alison Green and published by Ballantine Books. This book was released on 2018-05-01 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

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