[PDF.80qt] Agile Data Science: Building Data Analytics Applications with Hadoop
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Agile Data Science: Building Data Analytics Applications with Hadoop
Russell Jurney
[PDF.hu95] Agile Data Science: Building Data Analytics Applications with Hadoop
Agile Data Science: Building Russell Jurney epub Agile Data Science: Building Russell Jurney pdf download Agile Data Science: Building Russell Jurney pdf file Agile Data Science: Building Russell Jurney audiobook Agile Data Science: Building Russell Jurney book review Agile Data Science: Building Russell Jurney summary
| #381618 in Books | O'Reilly Media | 2013-10-28 | 2013-10-28 | Original language:English | PDF # 1 | 9.19 x.38 x7.00l,.66 | File type: PDF | 178 pages | ||2 of 2 people found the following review helpful.| Frustrating but beneficial.|By Kev|This book is terribly frustrating. I have a lot of experience in statistical analysis, machine learning, and programming and picked up this book to learn how to apply these skills with "Agile Data Science." This mostly means implementing these skills with the tools of AWS, Hadoop, and hosting data products on scalable platforms.
The|About the Author|
|Russell Jurney cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to bui
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, 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 in...
You easily download any file type for your gadget.Agile Data Science: Building Data Analytics Applications with Hadoop | Russell Jurney. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
