The things we really need are getting more expensive. Other stuff is getting cheaper.

WinHEC (Windows Hardware Engineering Community) is Microsoft's string of conferences designed to get hardware developers jazzed about developing for the Windows platform. Microsoft's goal, like anyone with an ecosystem, is to get their fair share of resources committed to their platform. At this year's WinHEC 2016 in Shenzhen today, Microsoft laid out what could possibly be the biggest look into the future of the personal computing platform we have seen in a while. Part of that has to do with the upcoming Creator's Update that is coming to Windows 10 next year that will enable new and more immersive user experiences. Microsoft brought both Intel and Qualcomm on stage to talk about the developments from each of the companies and how each of them is working with Microsoft to enable new experiences to users with Windows.

The previous post concentrated on deciding if a categorical Machine Learning model should be released for production or not. This post concentrates on interpreting the scores of a regression model and the implication in using it in a decision management feature. Decision management solutions apply business rules written by humans and automatically apply them to the cases they are presented. Digital masters are more likely to include the output from a machine learning prediction into their decision management systems than those who are just starting their digital journey. If the last inspection was 30 days ago then put the battery on the "inspection due" list.

Loyal readers will recall that last spring we conspired with artificial intelligence expert Randal Olson to develop the ultimate U.S. road trip. The map Olson came up with -- he did all the work, really -- optimized the best way to drive by car to 50 major U.S. landmarks, using machine learning algorithms and Google Maps. We're happy to report that Olson is back at it, just in time for summer road tripping. By leveraging the power of genetic algorithms and other artificial intelligence technology, Olsen's optimized loop route will get you across the country and back in a little over eight days -- starting in Concord, N.H., and dropping you back in Boston, Mass. How did Olson generate his road trip map?

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. Below is our fourth edition. Top 20 Big Data Experts to Follow (Includes Scoring Algorithm) Text Classification & Sentiment Analysis tutorial / blog Learn Everything about Sentiment Analysis using R 1.5 TB dataset of anonymized user interactions released by Yahoo Fuzzy Matching Algorithms To Help Data Scientists Match Similar Data

Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering,modeling and analysis of financial markets. In this article we will discuss a free data-analysis framework called DMelt (The DataMelt project, http://jwork.org/dmelt/) It is a great program for scientists, engineers and students who need numerical and statistical computations, data and function visualization and even symbolic computation. DMelt is a 100% Java package, which means it is fully object-oriented and runs on any Java Virtual Machine regardless of computer architecture.

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Now that we have the data ready for analysis, we first create a histograms of average restaurant rating group by restaurant grades. This is the first image presented above. For a second visualization, I created another histogram plot of average restaurant ratings grouped by number of comments which included a foodborne illness flag.