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Showing 1 - 25 of
34 matches in All Departments
A complete guide to understanding and using your numbers of
destiny.
Fans of Abby Jimenez and Alexis Daria will love this novel about
one New York City woman skilled in producing swoon-worthy reality
TV shows but whose own life is a mess, with nothing ever going
according to plan. Ana Karina loves her job—though she isn't
quite where she thought she'd be by now. As reality tv producer,
she orchestrates extravagant marriage proposals that always (read:
mostly) go as planned. If they don't, she’s not afraid to cut and
paste scenes to perfection afterward. Even if her arrogant film
editor isn't a fan. But what does he know about romance anyway? If
only Ana's love life was as simple as fixing botched engagements.
She's sick and tired of guys who give her the ick. Open-toed
sandals? Gross. Mr. Casual. No, thanks. Wears a toupe? Cut! Ana's
got a mile-long list of all the cringey things to steer clear of.
And Ana loves lists. Her to-dos for her best friend's wedding, show
ideas to pitch, and even her list of what she does want in Mr.
Right. With only four requirements, why is it taking so long to
find him? She refuses to put her life on hold waiting. She’ll
just date four men who each embody one quality. Never mind them
lacking in other departments. Yet as she finds the Prince Charming
in every frog, she also gets closer to facing who she’s avoided
for years. Herself.
This book offers a new, theoretical approach to information
dynamics, i.e., information processing in complex dynamical
systems. The presentation establishes a consistent theoretical
framework for the problem of discovering knowledge behind
empirical, dynamical data and addresses applications in information
processing and coding in dynamical systems. This will be an
essential reference for those in neural computing, information
theory, nonlinear dynamics and complex systems modeling.
Neural networks provide a powerful new technology to model and
control nonlinear and complex systems. In this book, the authors
present a detailed formulation of neural networks from the
information-theoretic viewpoint. They show how this perspective
provides new insights into the design theory of neural networks. In
particular they show how these methods may be applied to the topics
of supervised and unsupervised learning including feature
extraction, linear and non-linear independent component analysis,
and Boltzmann machines. Readers are assumed to have a basic
understanding of neural networks, but all the relevant concepts
from information theory are carefully introduced and explained.
Consequently, readers from several different scientific
disciplines, notably cognitive scientists, engineers, physicists,
statisticians, and computer scientists, will find this to be a very
valuable introduction to this topic.
This book offers a new, theoretical approach to information
dynamics, i.e., information processing in complex dynamical
systems. The presentation establishes a consistent theoretical
framework for the problem of discovering knowledge behind
empirical, dynamical data and addresses applications in information
processing and coding in dynamical systems. This will be an
essential reference for those in neural computing, information
theory, nonlinear dynamics and complex systems modeling.
Neural networks provide a powerful new technology to model and
control nonlinear and complex systems. In this book, the authors
present a detailed formulation of neural networks from the
information-theoretic viewpoint. They show how this perspective
provides new insights into the design theory of neural networks. In
particular they show how these methods may be applied to the topics
of supervised and unsupervised learning including feature
extraction, linear and non-linear independent component analysis,
and Boltzmann machines. Readers are assumed to have a basic
understanding of neural networks, but all the relevant concepts
from information theory are carefully introduced and explained.
Consequently, readers from several different scientific
disciplines, notably cognitive scientists, engineers, physicists,
statisticians, and computer scientists, will find this to be a very
valuable introduction to this topic.
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Digging Deeper (Paperback)
Barbara Jane Elsborg; Illustrated by Jo Raven; Edited by Deco
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R368
Discovery Miles 3 680
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Ships in 10 - 15 working days
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Drawn In (Paperback)
Jo Raven; Edited by Deco; Illustrated by B4jay
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R429
Discovery Miles 4 290
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Ships in 10 - 15 working days
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Is there a ?caveman? buried deep inside each of us?one that we
refuse to recognize? Do we have Paleolithic instincts and urgings?
How much of our behavior is a vestige from our hunter-gatherer
past? Man does in fact have an ancient, Paleolithic genetic design.
Indeed, human nature hasn't changed in roughly the last 200,000
years?but human society has changed drastically. Humans were
designed to live in small communal groupings. The further away from
this primitive setting that we find ourselves, the less likely it
is that our genetically governed instincts will adequately serve
us. Our deep-seated primitive instincts are ever-lurking in the
background, obscured and obfuscated by the pervasiveness of modern
civilization?but extremely relevant nonetheless. By ignoring our
Paleolithic design we fail to comprehend the nature of our modern
predicament.
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Dirty Angel (Paperback)
Jo Raven, Cormar Covers; Edited by Deco
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R389
Discovery Miles 3 890
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Ships in 10 - 15 working days
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This essay presents a unique approach to the subject of free will
and ethics based on the idea that evolution has created us with two
different perspectives on our world which are very different. The
universal perspective arises from our "reflective consciousness"
which is unique to humans, whereas the human perspective arises
from our "self consciousness". Because we are human, we must live
our lives by the dictates of the human perspective which
incorporates free will and ethics.. In the authors opinion, the
scientific alternative which is less than 500 years old can only be
understood by looking at the evolution of the entire universe,
starting with what we know about the Big Bang. In so doing, we are
inevitably led to the conclusion that from the universal
perspective we do not have free will and therefore the whole
concept of ethics is meaningless. But ethics is not meaningless to
us because we can't be other than human. Understanding and
accepting the consequences of these two perspectives.
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