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Scala Data Analysis Cookbook

Scala Data Analysis Cookbook

by Arun Manivannan

This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to impo...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2015

Clojure for Data Science

Clojure for Data Science

by Henry Garner

The term "data science" has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a scripting language with the speed of a compiled language. Together with its rich ecosystem of native libraries and an extremely simple and consistent...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2015

Efficient Learning Machines

FREE EBOOK - Efficient Learning Machines

by Mariette Awad, Rahul Khanna

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel ...

Price:  $39.99  |  Publisher:  Apress  |  Release:  2015

Learning Spark

Learning Spark

by Matei Zaharia, Holden Karau, Andy Konwinski, Patrick Wendell

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, set...

Price:  $32.23  |  Publisher:  O'Reilly Media  |  Release:  2015

Numerical Python

Numerical Python

by Robert Johansson

Leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, SciPy, SymPy, Matplotlib, Pandas, and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more.After reading and using Numerical Pytho...

Price:  $17.95  |  Publisher:  Apress  |  Release:  2015

Practical Graph Analytics with Apache Giraph

Practical Graph Analytics with Apache Giraph

by Claudio Martella, Dionysios Logothetis, Roman Shaposhnik

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points.Graphs arise in a wealth of data scenarios and describe ...

Price:  $37.67  |  Publisher:  Apress  |  Release:  2015

Data Algorithms

Data Algorithms

by Mahmoud Parsian

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You'll learn how to implement the app...

Price:  $54.57  |  Publisher:  O'Reilly Media  |  Release:  2015

Advanced Analytics with Spark

Advanced Analytics with Spark

by Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills

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...

Price:  $20.00  |  Publisher:  O'Reilly Media  |  Release:  2015

Learning to Love Data Science

Learning to Love Data Science

by Mike Barlow

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse.Barlow paints a picture of the ...

Price:  $9.99  |  Publisher:  O'Reilly Media  |  Release:  2015

Building a Recommendation System with R

Building a Recommendation System with R

by Suresh K. Gorakala, Michele Usuelli

A recommendation system performs extensive data analysis in order to generate suggestions to its users about what might interest them. R has recently become one of the most popular programming languages for the data analysis. Its structure allows you to interactively explore the data and its modules contain the most cutting-edge techniques thanks to its wide international community. This distinctive feature...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

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