Agile data science
β Jurney, Russell
π Library
π
2014
π O'Reilly
π English
β¦ LIBER β¦
π
Agile Data Science
β Scribed by Russell Jurney
- Publisher
- O'Reilly Media
- Year
- 2013
- Tongue
- English
- Leaves
- 177
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Mining big data requires a deep investment in people and time. How can you be sure youre building the right models? With this hands-on book, youll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.
Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. Youll learn an iterative approach that enables you to quickly change the kind of analysis youre doing, depending on what the data is telling you.
π SIMILAR VOLUMES
Agile Data Science 2.0
β Russell Jurney [Russell Jurney]
π Library
π
2017
π OβReilly Media, Inc.
π English
<span><div><p>Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if theyβre to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data
Agile Data Science 2.0
β Jurney, Russell
π Library
π
2014;2013
π O'Reilly Media
π English
<p>Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science de
Agile data science: building data analyt
β Russell Jurney
π Library
π
2013
π O'Reilly Media
π English
Mining big data requires a deep investment in people and time. How can you be sure youβre building the right models? With this hands-on book, youβll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig
Agile data science: building data analyt
β Russell Jurney
π Library
π
2013
π O'Reilly Media
π English
Mining big data requires a deep investment in people and time. How can you be sure youβre building the right models? With this hands-on book, youβll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.<br><br>Using lightweight tools such as Python, Apac
Agile Data Science: Building Data Analyt
β Russell Jurney
π Library
π
2013
π O'Reilly Media
π English
Mining big data requires a deep investment in people and time. How can you be sure you're building the right models? With this hands-on book, you'll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig