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Evolution Volume 3 (Paperback)
James Asmus, Joseph Keatinge, Christopher Sebela; Artworks by Joe Infurnari, Jordan Boyd
bundle available
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R465
R383
Discovery Miles 3 830
Save R82 (18%)
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Ships in 9 - 15 working days
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Humanity has been rapidly evolving, and Sister Hannah, Abe and
Rochelle are the only ones putting together the pieces. But is it a
mad conspiracy engineered by deviants, or nature's ultimate revenge
on mankind? Collects EVOLUTION #13-18.
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Evolution Volume 2: Adapt & Die (Paperback)
James Asmus, Joseph Keatinge, Christopher Sebela; Artworks by Joe Infurnari, Jordan Boyd
bundle available
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R444
R360
Discovery Miles 3 600
Save R84 (19%)
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Ships in 9 - 15 working days
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Faced with the fact that humanity's time-as we know it-is over, Abe
crosses a line and becomes less human himself. Meanwhile, Hannah
follows a trail of monsters to a secret facility in Italy, and
Claire is caught up in a conspiracy that could endanger her
girlfriend. Collects EVOLUTION #7-12
How can a single person understand what's going on in a collection
of millions of documents? This is an increasingly widespread
problem: sifting through an organization's e- mails, understanding
a decade worth of newspapers, or characterizing a scientific
field's research. This monograph explores the ways that humans and
computers make sense of document collections through tools called
topic models. Topic models are a statistical framework that help
users understand large document collections; not just to find
individual documents but to understand the general themes present
in the collection. Applications of Topic Models describes the
recent academic and industrial applications of topic models. In
addition to topic models' effective application to traditional
problems like information retrieval, visualization, statistical
inference, multilingual modeling, and linguistic understanding,
Applications of Topic Models also reviews topic models' ability to
unlock large text collections for qualitative analysis. It reviews
their successful use by researchers to help understand fiction,
non-fiction, scientific publications, and political texts.
Applications of Topic Models is aimed at the reader with some
knowledge of document processing, basic understanding of some
probability, and interested in many application domains. It
discusses the information needs of each application area, and how
those specific needs affect models, curation procedures, and
interpretations. By the end of the monograph, it is hoped that
readers will be excited enough to attempt to embark on building
their own topic models. It should also be of interest to topic
model experts as the coverage of diverse applications may expose
models and approaches they had not seen before.
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