TechNet Pod #4 – The Data Science One ft. R-Ladies Global

The TechNet Pod is a monthly podcast that rounds up everything that’s been happening on Microsoft UK’s technical channels, including TechNet UK, @MSDevUK and @TechNetUK. In this episode we chat with Alice Daish, a data scientist for The British Museum.

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Data’s CODEX and the control of data expediently

In the third instalment in her series about the best practices and procedures used in the management of database systems, Victoria Holt takes a look at the results and findings of her analysis.

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Miss a TechDays Online session? Catch up on-demand!

Last month, we hosted a three-day long, MVP-led TechDays Online. All 18 sessions are available to be viewed on-demand via Channel 9, so don’t miss out on topics including bots, Linux on Azure, Xamarin, Quantum Computing, IoT and more!

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Democratising AI with Cognitive Services

As a preview for his upcoming talk at TechDays Online 2017, Gary Pretty takes a look at the Microsoft Cognitive Services API and what you could be using it for. Remember to register today!

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From data to insight and impact – the BI revolution

This article is for those new to the world of business intelligence, such as application developers and cloud architects, who want to understand how a typical BI solution works, what each of its components do and some of the technologies used to implement them.

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Anomaly Detection: Models Ensemble

In the final article of their three-part series, SoftServe’s Data Science Group (DSG) wraps up their look at informational security risk identification by detecting deviations from the typical pattern of network activity.

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Three Models for Anomaly Detection: Pros and Cons

Continuing the previous research on Machine Learning: Achieving Ultimate Intelligence, SoftServe’s Data Science Group (DSG) describes informational security risk identification by detecting deviations from the typical pattern of network activity.

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The Role of Qualitative Data in Making Business Decisions

How do customers feel about your company? It’s probably not the easiest question to answer definitively. Data analysis is often the best step, and it’s qualitative data that can often mean the difference between success and failure.

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