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Learning Time Series with R

If you are looking for a first book devoted entirely to time series then in addition to Cowperwait you might want to look at Time Series Analysis with Applications in R by Jonathan D. Cryer and Kung-Sik Chan. Cowperwait covers more ground: in addition to the basics he has chapters on non-stationary series, long memory processes, spectral analysis, multivariate models and state space models in less than 250 pages. Cryer and Chan take things a little slower but they still cover ARIMA models, ARCH and GARCH models, regression models and spectral analysis. The TSA package that goes with the book is also helpful.

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Statistical Quality Control in R

Statistical Quality Control in R | Data-intensive computing | Scoop.it

Quality Control is an important part of most workplaces. From manufacturing to software development, you'll be hard pressed to find a business that doesn't have some basic QC practicies. Oftentimes this means one person meticulously inspecting products, looking for imperfections. It can be as painstaking as it is boring.

In this post, we're going to show you how to automate this with statistical quality control and R.

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Intel: Haswell will draw 50% less power than Ivy Bridge

Intel: Haswell will draw 50% less power than Ivy Bridge | Data-intensive computing | Scoop.it
Presumably in response to a glut of AMD-related news, Intel has preempted its formal Haswell unveil to announce that its chips will draw "50% less power" than Ivy Bridge on "active" workloads, such as playing a game or watching a movie.

Via Kalani Kirk Hausman
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The Internet of things

The Internet of things | Data-intensive computing | Scoop.it

The XV publication of the Bankinter Foundation is the result of the analysis carried out by the Future Trends Forum experts and analyzes the “Internet of things”. Six PDF documents to illustrate challenges and application fields of IoT.


Via SIGFOX
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Developing a Technology Roadmap for Data-intensive Computing

Developing a Technology Roadmap for Data-intensive Computing | Data-intensive computing | Scoop.it
Technology and computational evangelists quickly learn that human psychology is a key component of any project roadmap.
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Learning Time Series with R

If you are looking for a first book devoted entirely to time series then in addition to Cowperwait you might want to look at Time Series Analysis with Applications in R by Jonathan D. Cryer and Kung-Sik Chan. Cowperwait covers more ground: in addition to the basics he has chapters on non-stationary series, long memory processes, spectral analysis, multivariate models and state space models in less than 250 pages. Cryer and Chan take things a little slower but they still cover ARIMA models, ARCH and GARCH models, regression models and spectral analysis. The TSA package that goes with the book is also helpful.

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GPUs Push Big Data's Need for Speed

GPUs Push Big Data's Need for Speed | Data-intensive computing | Scoop.it
During his keynote this week at the GPU Technology Conference, NVIDIA CEO, Jen-Hsun Huang provided a few potent examples of how web-driven big data applications are pushing their real-time delivery envelope by adding GPUs into the fray.

Via Kalani Kirk Hausman
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Cellular Data Network for Inanimate Objects Goes Live in France - SIGFOX | MIT Technology Review

Cellular Data Network for Inanimate Objects Goes Live in France - SIGFOX | MIT Technology Review | Data-intensive computing | Scoop.it
A startup hopes to connect millions of low-power sensors worldwide to the Internet, making everything—from power grids to home appliances—smarter.

Via SIGFOX
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