LUIS: Notes from the Field of Natural Language Processing

I’m Anna Thomas, an Applied Data Scientist within Microsoft’s AI Engineering team. My focus the past two years has been in the “Applied AI” realm, which basically means integrating pre-built AI services into applications to make them smarter and more effective. The LearnAI team teaches at many events, and, because of that, I get exposed…

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Applied AI – Using a Bot for Password Reset

Learn AI Team – Rodrigo Souza The topic today is how to use a bot to optimize processes within a corporate help desk. Lost passwords and Active Directory password resets are still the leading cause of service desk calls. These requests are not only costly, but also drain IT resources that could be better spent…

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The Data Analysis Maturity Model – Level Three: Distributed, consistent reporting systems

I’m covering a series of data analysis maturity levels, which are essential to performing Advanced Analytics. We’re often quick to adopt a new way of evaluating data, while sometimes ignoring the fact that analysis is built on trustworthy data. Following a series of steps in the organization starting with proper collection through a good storage…

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The Data Analysis Maturity Model – Level One: Data Collection Hygiene

Data Science and Advanced Analytics are umbrella terms that usually deal with predictive or prescriptive analytics. They often involve Reporting, Business Intelligence, Data Mining, Machine Learning, Deep Learning, and Artificial Intelligence techniques. Most of the time these technologies rely heavily on linear algebra and statistics for their predictions and pattern analysis. In any foundational mathematics,…

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Introduction to the Microsoft AI Platform

I recently recorded an introduction to the Microsoft Artificial Intelligence suite of tools and services you can use in your organization, from what is already built  into Microsoft applications you own, through leveraging Cognitive Services, customizing AI, all the way through writing your own AI with Machine Learning, Deep Learning, and Neural Networks. I also…

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Azure Machine Learning and the Team Data Science Process – Part 1

The Team Data Science Process allows you to have a repeatable, controlled progression for analytics projects. You can use it with any Data Science technologies, and Microsoft has a full suite of products you can use for AI programming. Microsoft Azure Machine Learning Services have several components that assist in large-scale AI programming, Deep Learning,…

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The Microsoft Artificial Intelligence Landscape – And What to use When

Artificial Intelligence (AI), at its broadest definition, is simply “a machine that can act using human-style reasoning or perception”. Of course, the technologies used to enable that definition are far from simple themselves. Artificial Intelligence isn’t new – I worked with “Good Old Fashioned AI” (that’s a real thing) back in the late 70’s and…

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Data Science and Standard Patterns

In Data Science, the word “Pattern” has a specific meaning, involving the patterns that arise from data. This type of analysis is quite common in Data Mining and other technologies used by a Data Scientist. In IT practices such as systems architecture and software solutions design, the word “Pattern” has another definition, which is to…

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Analytics is Width. Feature Selection is Depth.

Most organizations don’t focus on Data Science or AI or Machine Learning as a single discipline – they group it together with the entire Analytics function. This includes everything from spreadsheets to Relation data, from documents stored in multiple locations to the structured business data in standard operations. While you might view your team independently,…

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The Keys to Effective Data Science Projects – Part 9: Testing and Validation

We’re continuing our discussion of the series of the Keys to Effective Data Science Projects,  this time focusing on Testing and Validating the Model. We’re in the general phase in the Team Data Science Process called “Customer Acceptance“. “Testing” in the general sense is the same in Data Science projects and any other typical software project – it’s ensuring…

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