Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Agile data science (sách keo gáy, bìa mềm
Computers - Web Development
Year:2013
Language:english
Pages: 177
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 inboxes. You’ll learn an iterative
approach that enables you to quickly change the kind of analysis you’re
doing, depending on what the data is telling you. All example code in
this book is available as working Heroku apps.
Create analytics applications by using the agile big data development methodology
Build value from your data in a series of agile sprints, using the data-value stack
Gain insight by using several data structures to extract multiple features from a single dataset
Visualize data with charts, and expose different aspects through interactive reports
Use historical data to predict the future, and translate predictions into action
Get feedback from users after each sprint to keep your project on track
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