SQL Server 2017 自習書、関連技術資料の公開

Microsoft Japan Data Platform Tech Sales Team 佐藤 秀和 SQL Server 2017 関連の技術資料が公開されましたので、皆様にお知らせいたします。 今回公開されました技術資料は、”自習書シリーズ” と ”Oracle から SQL Server への移行ガイド” の2種類となります。   ◆ 自習書 SQL Server 2017 自習書シリーズ No.1:SQL Server 2017 の新機能の概要 SQL Server 2017 自習書シリーズ No.2:SQL Server 2017 on Linux SQL Server 2017 自習書シリーズ No.3:SQL Server 2017 Machine Learning Services こちらの資料は、いつも自習書シリーズを執筆頂いている SQL Quality さんに、今回もご対応頂きました。いつも通り丁寧な内容で読みやすく解説して下さっています。SQL…


An Introduction to Machine Learning through Microsoft ML

Guest blog by Christian Hollreiser Microsoft Student Partner at University of Oxford About Me Hi! My name is Christian Hollreiser and I am currently reading an MSc in Computer Science at the University of Oxford. My main interest lies in Artificial Intelligence and Machine Learning in particular. I hope to use these fields to find…


Azure Content Spotlight – IoT Edge

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community. IoT sensors are becoming more sophisticated, and as their capabilities increase, the need for more complex processing also increases.  Azure IoT Edge extends cloud intelligence to devices by allowing AI and analytics to…

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Configuring Microsoft Machine Learning Server to Operationalize Analytics using ARM Templates

To benefit from Machine Learning Server’s web service deployment and remote execution features, you must first configure the server after installation to act as a deployment server and host analytic web services. The installation process is already taken care by using these Azure Marketplace Images (which come with Machine Learning Server pre-installed): Data Science Virtual…


How to Make Python Easier for the R User: revoscalepy

Python for the R User I’m an R programmer. To me, R has been great for data exploration, transformation, statistical modeling, and visualizations. However, there is a huge community of Data Scientists and Analysts who turn to Python for these tasks. Moreover, both R and Python experts exist in most analytics organizations, and it is…

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TechDays Sweden 2017

I had the honor of presenting one of the keynotes at TechDays Sweden.  The recording is available at https://www.youtube.com/watch?v=IWmuNNZ1WC8.


Building Real World Solution on Azure Government with Machine Learning 

In this episode of the Azure Government video series, Steve Michelotti sits down to talk with Vishwas Lele, CTO, Applied Information Sciences, about building real world solutions on Azure Government with Machine Learning. Vishwas describes a solution built for a classified customer in which machine learning is used to provide recommendations on relevant news articles…


Australia Microsoft Ignite 2017–special pricing for education customers

Over 4 days next February, more than 2,500 Australian Professional Developers and IT Pros converge on the Gold Coast to preview new technology, build industry skills and be inspired by innovation at Australia’s Microsoft Ignite 2017. It’s an event for the techies, and people obsessed with what they can do with technology. And it’s the…


Learning Data Science through a free online course

Last year I shared information on the Machine Learning course I took on edX, which taught me how to implement Azure Machine Learning services, and allowed me to build predictive data models. I’ve subsequently spoken with people who took the course on my recommendation, and have built interesting predictive models for student behaviour. One person…


Artificial Intelligence and Machine Learning in Education – a glimpse of what that might mean

Last year, when I wrote “Two ways to use Azure Machine Learning in education” and “Making machine learning in education easier for every day users‎”, I imagined a future where the power of the Project Oxford services could help education institutions with scenarios like face recognition (Who’s in my classroom today? Is anybody smiling in…