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Advanced Analytics with Spark: Patterns for Learning from Data at Scale

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In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.

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.

Patterns include:

  • 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 Trips 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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Fuzzy Mathematical Programming and Fuzzy Matrix Games
Fuzzy Mathematical Programming and Fuzzy Matrix Games
From the reviews of the first edition:

"The book presents a systematic theory … oriented primarily to senior undergraduate students, as well as to graduate students and researchers in the area of fuzzy optimization and related topics. Special attention is devoted to various approaches to fuzzy linear and quadratic programming...

The Linux Process Manager
The Linux Process Manager
The book assumes that the reader has some previous knowledge of operating system
structure and terminology. For anyone needing such a background I can recommend my
book Operating Systems (O’Gorman, 2000), which is a short readable introduction to the
topic. Operating Systems with Linux (O’Gorman, 2001) is much more
...
Beginning Android Tablet Programming
Beginning Android Tablet Programming

Beginning Android Tablet Programming starts off by showing how to get your system ready for Android tablet programming. You won't need any previous Android experience, because you'll learn all about the basic structure of an Android program and how the Android operating system works—and then you'll learn how to...


A Project Guide to UX Design: For user experience designers in the field or in the making
A Project Guide to UX Design: For user experience designers in the field or in the making
“If you are a young designer entering or contemplating entering the UX field this is a canonical book. If you are an organization that really needs to start grokking UX this book is also for you. "  -- Chris Bernard, User Experience Evangelist, Microsoft

User experience design is the discipline of creating a useful and
...
The Network Security Test Lab: A Step-by-Step Guide
The Network Security Test Lab: A Step-by-Step Guide

The ultimate hands-on guide to IT security and proactivedefense

The Network Security Test Lab is a hands-on, step-by-stepguide to ultimate IT security implementation. Covering the fullcomplement of malware, viruses, and other attack technologies, thisessential guide walks you through the security assessment...

Fourier Analysis (Graduate Studies in Mathematics)
Fourier Analysis (Graduate Studies in Mathematics)

Fourier analysis encompasses a variety of perspectives and techniques. This volume presents the real variable methods of Fourier analysis introduced by Calderón and Zygmund. The text was born from a graduate course taught at the Universidad Autónoma de Madrid and incorporates lecture notes from a course taught by José...

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