Cray Works with Industry Leaders to Reach New Performance Milestone for Deep Learning at Scale

Cray_Research_Inc_logoCray Inc. announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. Running larger deep learning models is a path to new scientific possibilities, but conventional systems and architectures limit the problems that can be addressed, as models take too long to train. Cray worked with Microsoft and CSCS, a world-class scientific computing center, to leverage their decades of high performance computing expertise to profoundly scale the Microsoft Cognitive Toolkit.

from insideBIGDATA http://insidebigdata.com/2016/12/31/cray-works-with-industry-leaders-to-reach-new-performance-milestone-for-deep-learning-at-scale/

Data Overload: Raising the Information Generation

BigData_scienceIn this TEDx presentatin, Reuben Vendeventer’s talk is pitched towards students, but it’s useful for business people too. The value in Vendeventer’s talk is his orientation towards data and the information age. He conceptualizes our knowledge of DNA as data points. This kind of reorientation is a solid start for any learner’s relationship with the data behind business intelligence.

from insideBIGDATA http://insidebigdata.com/2016/12/31/data-overload-raising-the-information-generation/

Because it’s Friday: Goodbye, 2016

Between the deaths of beloved heroes and heroines, the civil unrest and political upheavals, and a slew of natural disasters, 2016 wasn’t the greatest year. If you made a movie about it, this is what the trailer would look like:

We’ll be taking a few days off to recover from 2016. See you back here on January 3 and in the meantime, a very happy (and welcome!) New Year to all of our readers. 

from Revolutions http://blog.revolutionanalytics.com/2016/12/because-its-friday-goodbye-2016.html

Power BI Desktop – 2016 Year in Review

2016 has been quite the year for the Power BI Desktop. Over the course of our 11 releases this year, we’ve released over 190 features and improvements based on the feedback that you’ve given us throughout the year. For December, we are taking a break from our monthly releases to focus on quality and we’ll be back early in the new year with a brand-new Desktop release. So instead of our typical monthly blog post, we’re looking back at the past year, recapping several of our favorite features, and taking a look at our big focus areas from this past year.

from Business Intelligence Blogs https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-2016-year-in-review/

Power BI Desktop – 2016 Year in Review

2016 has been quite the year for the Power BI Desktop. Over the course of our 11 releases this year, we’ve released over 190 features and improvements based on the feedback that you’ve given us throughout the year. For December, we are taking a break from our monthly releases to focus on quality and we’ll be back early in the new year with a brand-new Desktop release. So instead of our typical monthly blog post, we’re looking back at the past year, recapping several of our favorite features, and taking a look at our big focus areas from this past year.

from Microsoft Power BI Blog | Microsoft Power BI https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-2016-year-in-review/

Power BI custom visuals, based on R

You’ve been able to include user-defined charts using R in Power BI dashboards for a while now, but a recent update to Power BI includes seven new custom charts based on R in the customs visuals gallery. You can see the new chart types by visiting the Power BI Custom Visuals Gallery and clicking on the “R-powered visuals” tab.

The new custom visuals are listed below. Click on the visual names to see an example, and click on the “GitHub” link at the bottom of the pop-up to see the actual R code used.

Clustering, based on the NbClust package
Clustering with Outliers, based on the dbscan package
Correlation Plot, based on the corrplot package
Decision Tree, based on the rpart and the rpart.plot packages
Forecasting, based on the forecast package
Association Rules, based on the arules and arulesViz packages
Smoothing Splines, based on the splines package

You can also combine custom R charts with other Power BI tools to create interactive R charts. A favorite of mine is the Timeline slicer, which allows you to select a range from a date variable. (The dashboard, including the R charts, is updated using only data from the date range you select.) You can also use the built-in date slicer for similar effect, and Tomaž Kaštrun demonstrates how to combine it with a custom R chart in his blog post R graphs and Tables in Power BI Desktop.

from Revolutions http://blog.revolutionanalytics.com/2016/12/power-bi-custom-visuals-based-on-r.html

This Week On Windows: Happy Holidays! | This Week On Windows

This Week on Windows: We’re showing you tips and tricks to help you get the most out of your Windows 10 PC! Happy Holidays! Topics in this episode include:

  • Getting started with Windows 10
  • Cortana
  • Microsoft Edge
  • Windows Hello
  • Xbox play anywhere/Windows store
  • Did you know: photos app holiday tips

 

from Channel 9 https://channel9.msdn.com/Shows/This-Week-On-Windows/Happy-Holidays