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Since the release of Microsoft R Server 9 last month, there’s been quite a bit of news in the tech press about the capabilities it provides for using R in production environments.

Infoworld’s article, Microsoft’s R tools bring data science to the masses, takes a look back at Microsoft’s vision for R since acquiring Revolution Analytics two years ago, and notes that now “R is everywhere in Microsoft’s ecosystem”. Ads b database The article gives some background on open source R, and describes the benefits of using it within Microsoft R Open, Microsoft R Server and SQL Server 2016 R Services.

ZDNet’s article, Microsoft’s R Server 9: more predictive analytics, in more places, focuses on some of the major new features including the MicrosoftML package, the new Swagger API for R function deployment, and support for Spark 2.0. Database denormalization It also notes that the integration with SQL Server means that “predictive analytics capabilities are now available … to an entire generation of application developers”.

Computerworld’s article, Microsoft pushes R, SQL Server integration, focused on the operationalization capabilities for integrating R into production workflows, such as the new publishServices function. Pokemon y database It also mentioned the various problem-specific solutions on GitHub, including the new Marketing Campaign Optimization template.


With SQL Server integration as a key component of the platform, you may also be interested in this blog post from the development team: SQL Server R Services – Why we built it.

If you’re doing any kind of in-depth programming in the R language (say, creating a report in Rmarkdown, or developing a package) you might want to consider using a version-control system. Data recovery icon And if you collaborate with another person (or a team) on the work, it makes things infinitely easier when it comes to coordinating changes. Fda 510 k database Amongst other benefits, a version-control system:

• Saves you from the worry of making irrevocable changes. Google hacking database Instead of keeping multiple versions of files around (are filenames like Report.Rmd; Report2.Rmd; Report-final.Rmd; Report-final- final.Rmd familiar?) you just keep the latest version of the file, knowing that the older versions are accessible should you need them.

• Keeps a remote backup of your files. Database concepts 6th edition pdf If you accidentally delete a critical file, you can retrieve it. Data recovery utility If your hard drive crashes, it’s easy to restore the project.

• Makes it easy to work with others. Data recovery from hard drive Multiple people can work on the same file at the same time, and it’s (relatively) easy to keep changes in sync.

• Relatedly, it makes it easy to get a collaborator. Database objects Even if your project is currently a solo effort, you may want to get help in the future, and a version-control system makes it easy to add project members. Data recovery raid 5 If it’s an open-source project, you might even get contributions from people you don’t know!

There are many version control systems out there, but a popular one is Git. Database architect You’ve possibly interacted with projects (especially R packages) managed under Git on Github, the online version of Git. Data recovery options And while you can get a fair bit done just with your browser and GitHub, the real power comes by installing Git on your desktop. Database jobs Using git’s command-line interface is a bear (here’s a fake, but representative example of the documentation), but fortunately RStudio and RTVS provide interfaces that make things much easier.

If you want to get started with Git and RStudio, Jenny Bryan has provided an excellent guide to setting up your system and using version control: Happy Git and Gitgub for the R User. H2 database file The guide is quite long and detailed, but fear not: the pace is brisk, and provides everything you need to get going. R studio data recovery serial key During a two-hour workshop that Jenny presented at the RStudio conference, I was able to install Git for Windows, configure it with my GitHub credentials, connect it to RStudio, commit changes to an existing R package, and create and share my own repository. Database query languages It’s easier than you think! Just start with the link below, and work your way through the sections.

The Microsoft R Server Tiger Team assists customers around the world to implement large-scale analyytic solutions. P d database Along the way, they discover useful tips and best practices, and share them on the Tiger Team blog. Database 101 Here are a few recent tips from the Tiger Team on using Microsoft R Server:

For more tips, including tips on operationalizing R scripts and using Microsoft R Server with data platforms including Teradata and Cloudera, check out thre Tiger Team blog at the link below.

Education is a relatively late adopter of predictive analytics and machine learning as a management tool. M power database A keen desire for improving educational outcomes for society is now leading universities and governments to perform student predictive analytics to provide better-informed and timely decision making.

Education systems face enormous diversity across regions and countries. Data recovery from external hard drive Two case studies demonstrate the novel and unique landscape for machine learning in the education world.

• A mixed effects regression model has been developed in conjunction with an Australian education department to measure the influence of student characteristics and to predict student test scores in the presence of variation across students and schools. Database join types The model was implemented using R and then integrated with Azure Machine Learning for deployment to production through Power BI.

• A predictive model for student drop out has been developed in conjunction with an Indian state government using machine learning two-class boosted decision trees. Section 8 database For deployment an end-to-end pipeline was built using Azure services including Azure SQL Database, Azure ML and Azure Data Factory

Microsoft Data Scientists assisted with the analysis in both cases and we present details below with R code provided in a git repository to replicate the modelling on artificial data. Icd 9 database Student Performance

We used to live near the Napa river where this river gage is located, and still have many friends in the area. Database xampp We were in the area last weekend, when a ” pineapple express” weather event brought an atmospheric river over much of California, with much rain and some flooding in low-lying areas. Database administrator jobs This was just before the first peak in the chart above, which shows the water level in the Napa river (in blue) along with a NOAA forecast (in purple). Data recovery joondalup I was checking this chart obsessively, as the observed water level approached the “Major Flood” level, and experienced alternate bouts of hope and fear as the forecast skirted above the line from time to time.

Relying on this chart so intently made me appreciate what is takes to make a useful chart, so let’s look at the ways this particular chart stands out. Database of genomic variants (While NOAA does use R for some hydrological charts, I don’t think R was used for this one.)

The chart is updated frequently, and the most recent data point is highlighted. New river levels were posted every 15 minutes, and at as the crest was peaking knowing how recent the data were was critical.

A forecast is provided. Database viewer The purple dots are based on a hydrological forecast, which includes information from upstream gages, weather forecasts, and the river formation around this particular location. H data recovery registration code free download This was an incredibly useful tool during the flood threat. Database hardware However, the forecast is only updated every few hours, so having the recency of the forecast on the chart was incredibly helpful.

Context is provided for the measurements and forecast. Database roles I hadn’t really paid much mind to the river level before — most of the time it’s not much more than a minor stream. B tree database management system But knowing what river levels represented minor, moderate or major flooding (with their detailed definitions) was important. Database file (As you can see, the river just avoided the major flooding stage on Sunday, and indeed the local town stayed mostly dry. Data recovery near me Some vineyards were flooded, though)

Time zones are provided with times. Database job description There’s nothing more frustrating than looking at a date or time, not knowing what time zone the data are provided in. Data recovery 94fbr This chart includes both the local time zone (PST) for the main axis and annotations and, on the top axis, Coordinated Universal Time. Database foreign key (17Z refers to 5PM Zulu time, which is 8 hours ahead of PST.)

The second Y axis. Database as a service Having a second Y axis on a chart is rarely a good idea, but this is one of the examples where it’s useful. Iphone 6 data recovery The river flow is directly (but nonlinearly) related to river height, so presenting it here on the Y axis is useful for those that need it. Database google drive (This is actually the value — not river height — used as input to the forecasts.) But while bridge engineers care about river flow, most are more concerned about the height, which is given top billing on the main Y axis. Data recovery geek squad Bonus credit: units are provided for both axes: always a must-have, but lamentably often forgotten.

Annotations are provided for context. Database recovery pending Having the recent and forecast peak heights and therecord flood height included on the chart provided context for the severity of the current flood threat, especially if you had experieced prior flood events in the area.

The chart is in PNG format. Data recovery prices That’s a good choice for a chart like this: it’s a lossless format, which means the data points appear in perfect fidelity. Database sharding It’s also a fairly compact format that keeps image sizes small — important for a website that may experience a lot of traffic from many people constantly refreshing the report. Database keys with example (Thoughtfully, an auto-refresh option was also provided.) JPG, a lossy format that blurs small data points and straight lines, would have been a terrible choice here.

That’s not to say this chart gets everything right. Data recovery xfs More resolution would have been helpful (especially when trying to comare the last data point to the prior — is the river level rising or falling?). Database management systems 3rd edition The color key for the flood stages is far from the chart on the webpage, rather than being included on the chart itself. Database engineer salary The NOAA logo is a bit intrusive (though I understand why it’s there). Jstor database And in general the styling is could use an update (pseudo-3D chrome is so last century). E m database But this chart gets many more things tahn it gets wrong, and provides a useful lesson in presenting data graphically that people can actually use.

As you can see from the chart, another flood-level crest is now heading down the river. Data recovery richmond va As things stand now, it doesn’t seem like it’s going to be as severe as the one on Sunday, but to everyone in the affected areas: good luck, take care, and give thanks to NOAA for keeping us all informed.

StackOverflow, the popular Q&A site for programmers, provides useful information to nearly 5 million programmers worldwide with its database of questions and answers — not to mention the additional comments that other programmers provide. Data recovery software (You might be interested in the architecture, based SQL Server 2016, required to deliver the 8.5 billion pages Stack Overflow served last year.) Since its inception, StackOverflow has has a policy of sharing all of this content under a Creative Commons license. Data recovery advisor This represents a rich trove of unstructured data for analysis, especially given that the database of 13 million questions, 21 million answers and 54 million comments (and growing) is easily accessible via StackExchange Data Explore, Kaggle and Google BigQuery.

Various data scientists have investigated this database, and learned some interesting things about programmers in the process. Database host name Here are a few examples, with links to the complete reports.

Sara Robinson analyzed the sentiment of Stack Overflow comments (based on phrases like “thank you” or “stupid”) and found that R users seem to be the happiest, while Objective-C users are the angriest.

David Robinson analyzed developer job titles over time and found terms that were on the rise (for example “full stack”) and terms on the decline (like “webmaster”).

David Robinson also analyzed regional differences between programmers and compared the most popular tags used in San Francisco, London, Bangalore and New York. Database performance (R is the third most popular language in New York by this measure.)

Max Woolf analyzed the results of the StackOverflow Developer Survey and found this relationship between self-described skill level and salary.

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