Microsoft Ignite 2018 Links to Training

I recently attended, presented, worked and did interviews at the Microsoft Ignite 2018 Conference in Orlando. If you have never been, you should go sometime. 30,000 people, 2.1 million square feet of space, and ten+ miles of walking per day. And the content is *incredible*. That being said, I rarely got to *see* any of…

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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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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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Seatbelt Learning with Uncle Buck

I travel a great deal for my work. For instance, in the next two weeks alone, I’ll travel from Florida to Hong Kong for a week, then from Hong Kong to London for a week, and then from London back to Tampa – I’ll circumnavigate the globe for just two Data Science trips. I’m home…

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A Quick Start for Data Science

I’ve covered the Data Science Body of Knowledge here on this blog, and there’s quite a bit there to get started with. But if you’d like a “quicker” introduction to Data Science, I have you covered. You might want to see if you’re really interested, explain to your boss what Data Science is, or maybe you’re just…

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Simplifying (?) Artificial Intelligence

Artificial Intelligence is a vastly complicated topic. It’s not just that it has a lot of components (because it does) it’s because it isn’t really a single topic. It’s a surprisingly old field of study that has morphed and changed over the years. I worked with “AI Systems” in the 1970’s – and even then it was based…

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What is the main difference between Business Intelligence and Data Science?

I’ve explained in other articles that Data Science is not a replacement for other data technologies, it’s a continuation of the data analytics process. So if Data Science is used in analytics of large sets of data, how does it differ from Business Intelligence (BI), which is also used to analyze large sets of data? Business…

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Learning on the Move

Probably the most interesting reactions I get (and that’s saying a lot) is when I tell people that I teach on a cruise. “A cruise? Like on a ship, or something? Like, a regular cruise?” Yes, I’ll reply, THAT kind of cruise. At first, people laugh, but then you can see the wheels turn and they ask for details…

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Hello Buck – I’d like to work at Microsoft

About once a week or so, after teaching a Data Science class or at an event, I’ll get asked “Hey – I’ve got a lot of experience and training in technology X – and I’d like to work at Microsoft. What do I do?” I was Germany the week I wrote this – teaching, and…

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