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Author: MALORIE. BLACKMAN
Publisher:
ISBN: 9781292320823
Category :
Languages : en
Pages :
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Book Description
Author: MALORIE. BLACKMAN
Publisher:
ISBN: 9781292320823
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9781292307688
Category :
Languages : en
Pages :
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Book Description
Author: L. HARTLEY
Publisher:
ISBN: 9781292320892
Category :
Languages : en
Pages :
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Book Description
Author: JOHN. ESCOTT
Publisher:
ISBN: 9781292321554
Category :
Languages : en
Pages :
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Book Description
Author: LAURA. MILLER
Publisher:
ISBN: 9781292307947
Category :
Languages : en
Pages :
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Book Description
Author: KATHERINE. MANSFIELD
Publisher:
ISBN: 9781292320885
Category :
Languages : en
Pages :
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Book Description
Author: Charna Halpern
Publisher: Meriwether Publishing
ISBN: 9781566080033
Category : Improvisation (Acting)
Languages : en
Pages : 164
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Book Description
The 'Harold', an innovative improvisational tool, helped many actors on the road to TV and film stardom, including George Wendt (Norm on Cheers). Now it is described fully in this new book for would-be actors and comics. The 'Harold' is a form of competitive improv involving 6 or 7 players. They take a theme suggestion from the audience and 'free associate' on the theme into a series of rapid-fire one-liners that build into totally unpredictable skits with hilarious results. The 'Harold' is a fun way to 'loosen up' and learn to think quickly, build continuity, develop characterisations and sharpen humour.
Author: Frank Buschmann
Publisher: John Wiley & Sons
ISBN: 1118725263
Category : Computers
Languages : en
Pages : 502
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Book Description
Pattern-oriented software architecture is a new approach to software development. This book represents the progression and evolution of the pattern approach into a system of patterns capable of describing and documenting large-scale applications. A pattern system provides, on one level, a pool of proven solutions to many recurring design problems. On another it shows how to combine individual patterns into heterogeneous structures and as such it can be used to facilitate a constructive development of software systems. Uniquely, the patterns that are presented in this book span several levels of abstraction, from high-level architectural patterns and medium-level design patterns to low-level idioms. The intention of, and motivation for, this book is to support both novices and experts in software development. Novices will gain from the experience inherent in pattern descriptions and experts will hopefully make use of, add to, extend and modify patterns to tailor them to their own needs. None of the pattern descriptions are cast in stone and, just as they are borne from experience, it is expected that further use will feed in and refine individual patterns and produce an evolving system of patterns. Visit our Web Page http://www.wiley.com/compbooks/
Author: Jandy Nelson
Publisher: Penguin
ISBN: 0142425761
Category : Young Adult Fiction
Languages : en
Pages : 417
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Book Description
A New York Times bestseller • One of Time Magazine’s 100 Best YA Books of All Time • Winner of the Michael L. Printz Award • A Stonewall Honor Book The radiant, award-winning story of first love, family, loss, and betrayal for fans of John Green, Becky Albertalli, and Adam Silvera "Dazzling."—The New York Times Book Review "A blazing prismatic explosion of color."—Entertainment Weekly "Powerful and well-crafted . . . Stunning." —Time Magazine “We were all heading for each other on a collision course, no matter what. Maybe some people are just meant to be in the same story.” At first, Jude and her twin brother are NoahandJude; inseparable. Noah draws constantly and is falling in love with the charismatic boy next door, while daredevil Jude wears red-red lipstick, cliff-dives, and does all the talking for both of them. Years later, they are barely speaking. Something has happened to change the twins in different yet equally devastating ways . . . but then Jude meets an intriguing, irresistible boy and a mysterious new mentor. The early years are Noah’s to tell; the later years are Jude’s. But they each have only half the story, and if they can only find their way back to one another, they’ll have a chance to remake their world. From the acclaimed author of The Sky Is Everywhere, this exhilarating novel will leave you breathless and teary and laughing—often all at once.
Author: Terrence J. Sejnowski
Publisher: MIT Press
ISBN: 026203803X
Category : Computers
Languages : en
Pages : 354
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Book Description
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
