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|z 9781491972953
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|a 9781491972946
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|a 1491972947
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|a 9781491972953
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|a 006.3/12
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|a UAMI
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|a Ryza, Sandy,
|e author.
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|a Advanced analytics with Spark :
|b patterns from learning from data at scale /
|c Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills.
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|a Second edition.
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|a Sebastopol, CA :
|b O'Reilly Media,
|c 2017.
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
|b txt
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|a computer
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|2 rdamedia
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|a online resource
|b cr
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|a Description based on online resource; title from title page (Safari, viewed June 19, 2017).
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|a Previous edition published: 2015.
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|a Includes index.
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|a Analyzing big data -- Introduction to data analysis with Scala and Spark -- Recommending music and the audioscrobbler data set -- Predicting forest cover with decision trees -- Anomaly detection in network traffic with K-means clustering -- Understanding Wikipedia with latent semantic analysis -- Analyzing co-occurrence networks with GraphX -- Geospatial and temporal data analysis on the New York City taxi trip data -- Estimating financial risk through Monte Carlo simulation -- Analyzing genomics data and the BDG project -- Analyzing neuroimaging data with PySpark and Thunder.
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|a The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by presenting examples and a set of self-contained patterns for performing large-scale data analysis with Spark. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-classification, collaborative filtering, and anomaly detection among others-to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Spark (Electronic resource : Apache Software Foundation)
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|a Spark (Electronic resource : Apache Software Foundation)
|2 fast
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|a Big data.
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|a Data mining
|x Computer programs.
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|a Données volumineuses.
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|a Exploration de données (Informatique)
|x Logiciels.
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|a Big data
|2 fast
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1 |
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|a Laserson, Uri,
|e author.
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1 |
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|a Owen, Sean,
|e author.
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700 |
1 |
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|a Wills, Josh,
|e author.
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776 |
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|i Print version:
|a Ryza, Sandy.
|t Advanced analytics with Spark : patterns from learning from data at scale.
|b Second edition.
|d Sebastopol, California : O'Reilly Media, 2017
|z 9781491972953
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781491972946/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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