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Author: Diana Hacker
Publisher: Bedford/st Martins
ISBN: 9780312467845
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
Author: Diana Hacker
Publisher: Bedford/st Martins
ISBN: 9780312467845
Category : Language Arts & Disciplines
Languages : en
Pages :
Get Book Here
Book Description
Author: Diana Hacker
Publisher: Scarborough, Ont. : Nelson Canada
ISBN: 9780176042110
Category : Language Arts & Disciplines
Languages : en
Pages : 412
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Book Description
A Canadian Writer's Reference, adapted from the most widely used college handbook ever published — and with the help of several Canadian instructors — has advice that's easy to find and easy to understand. It provides the comprehensive coverage, concrete examples, and trusted models students need for writing in almost every postsecondary course and beyond. A new tabbed section, Writing about Literature, offers advice on interpreting and writing about works of literature and includes two annotated student essays. Grounded in Canadian texts, culture, and current events, examples throughout the book provide relevant context and advice for Canadian writers. And a new instructor's edition offers classroom activities and teaching tips for Canadian instructors — making it easier than ever to integrate the handbook into the course.
Author: Diana Hacker
Publisher: Macmillan Higher Education
ISBN: 1319455115
Category : Language Arts & Disciplines
Languages : en
Pages : 1177
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Book Description
This ebook has been updated to provide you with the latest guidance on documenting sources in MLA style and follows the guidelines set forth in the MLA Handbook, 9th edition (April 2021). A Writer’s Reference with Exercises helps you engage in and meet the challenges of your writing course. Clear How-to boxes help you complete common writing assignments like argument and analysis. Guidance about paraphrasing and fact-checking sources help you become a more responsible writer and reader. And Notes-to-self help you reflect on your progress and plan your revision. If your instructor has assigned Achieve, you have new ways to engage with course material and with your instructor and peers. Revision planning tools and individualized study plans help you become a better writer, and a built-in e-book puts your problem and your solution side by side.
Author: Mark Kramer
Publisher: Penguin
ISBN: 1440628947
Category : Language Arts & Disciplines
Languages : en
Pages : 337
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Book Description
Interested in journalism and creative writing and want to write a book? Read inspiring stories and practical advice from America’s most respected journalists. The country’s most prominent journalists and nonfiction authors gather each year at Harvard’s Nieman Conference on Narrative Journalism. Telling True Stories presents their best advice—covering everything from finding a good topic, to structuring narrative stories, to writing and selling your first book. More than fifty well-known writers offer their most powerful tips, including: • Tom Wolfe on the emotional core of the story • Gay Talese on writing about private lives • Malcolm Gladwell on the limits of profiles • Nora Ephron on narrative writing and screenwriters • Alma Guillermoprieto on telling the story and telling the truth • Dozens of Pulitzer Prize–winning journalists from the Atlantic Monthly, New Yorker, New York Times, Los Angeles Times, Washington Post and more . . . The essays contain important counsel for new and career journalists, as well as for freelance writers, radio producers, and memoirists. Packed with refreshingly candid and insightful recommendations, Telling True Stories will show anyone fascinated by the art of writing nonfiction how to bring people, scenes, and ideas to life on the page.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: John L. Hennessy
Publisher: Morgan Kaufmann
ISBN: 0128119063
Category : Computers
Languages : en
Pages : 939
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Book Description
Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design. - Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association - Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling - Features the first publication of several DSAs from industry - Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC - Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization - Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter - Includes review appendices in the printed text and additional reference appendices available online - Includes updated and improved case studies and exercises - ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
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.
Author: Anne Lamott
Publisher: Anchor
ISBN: 0307424987
Category : Language Arts & Disciplines
Languages : en
Pages : 274
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Book Description
NEW YORK TIMES BESTSELLER • An essential volume for generations of writers young and old. The twenty-fifth anniversary edition of this modern classic will continue to spark creative minds for years to come. Anne Lamott is "a warm, generous, and hilarious guide through the writer’s world and its treacherous swamps" (Los Angeles Times). “Superb writing advice…. Hilarious, helpful, and provocative.” —The New York Times Book Review For a quarter century, more than a million readers—scribes and scribblers of all ages and abilities—have been inspired by Anne Lamott’s hilarious, big-hearted, homespun advice. Advice that begins with the simple words of wisdom passed down from Anne’s father—also a writer—in the iconic passage that gives the book its title: “Thirty years ago my older brother, who was ten years old at the time, was trying to get a report on birds written that he’d had three months to write. It was due the next day. We were out at our family cabin in Bolinas, and he was at the kitchen table close to tears, surrounded by binder paper and pencils and unopened books on birds, immobilized by the hugeness of the task ahead. Then my father sat down beside him, put his arm around my brother’s shoulder, and said, ‘Bird by bird, buddy. Just take it bird by bird.’”
Author: American Medical Association
Publisher:
ISBN:
Category : Authorship
Languages : en
Pages : 72
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Book Description
Author: American Psychological Association
Publisher: American Psychological Association (APA)
ISBN: 9781433832161
Category : Language Arts & Disciplines
Languages : en
Pages : 428
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Book Description
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.
