Tag Archives: Data Science

TDSP Lifecycle – Wrap-up

Microsoft in the News   Today’s installment is all about a not-so-new buzzword(s):  Intelligent Edge. The Intelligent Edge refers to a place, like the cutting edge.  The Intelligent Edge is where the action is.  This can refer to the smart watch on your wrist, a sensor placed in a vineyard, a monitor under the hood […]

TDSP Lifecycle – Client Acceptance

Microsoft in the News Microsoft Canada and the British Columbia Cancer Foundation have partnered to take a radical approach to cancer research.  By taking advantage of Microsoft’s AI and Azure, BC cancer researchers hope to accelerate the pace of research into some very complex problems. The BC Cancer Foundation is applying a new approach called […]

TDSP Lifecycle – Deployment

Microsoft in the News Not that long ago, Microsoft deployed three business apps to supplement Microsoft 365 Premium.  They are:  Listings, Connections, and Invoicing.  In case you missed them, here is a brief rundown of what they do: Listings Microsoft Listings is a dashboard that allows you to manage your business information across Facebook, Google, […]

TDSP Lifecycle – How to Ask a Question (Part 4)

This will be the last blog post dealing with data science from a general perspective.  Today we will look at steps 6 and 7 in the DS diagram   Answer the Question Now for the fun part: machine learning!  Or not.  The reason I say “or not” is because now that you have your data […]

TDSP Lifecycle – How to Ask a Question (Part 3)

Today, in this unconscionably long side bar, I will look at step five in our DS diagram. Transform the Features   At this point you are chomping at the bit to start playing with some machine learning algorithms on Azure.  That is the sort of thing that we geeks live for!  But you have one […]

TDSP Lifecycle – How to Ask a Question (Part 2)

In my last blog, we looked at steps 1 and 2 in the following diagram: In this episode of the continuing saga that is data science (the general stuff, not TDSP), we will look at parts 3 and 4. Put the Data in a Table Neither you, nor an AI can work with un-structured data.  […]

TDSP Lifecycle – How to Ask a Question (Part 1)

In my last blog, I said that I would, as a side bar, look at the art of asking questions in a Data Science (“DS”) process.  This is that blog.  To keep it in context, I have decided to follow through with an overview of the DS process, so this side bar will be four […]

TDSP Lifecycle – Business Understanding

The starting point in the TDSP Lifecycle is Business Understanding.  In my last blog, I mentioned that each step in the TDSP Lifecycle comes with goals, instructions, and artifacts.  That is the format we will be following throughout this blog series. Goals: Obviously if you are starting a project, you already have some ideas about […]

Introduction to the TDSP Lifecycle

As I pointed out in my previous blog, the TDSP lifecycle is made up of five iterative stages: Business Understanding Data Acquisition and Understanding Modeling Deployment Customer Acceptance This is not very different from the six major phases used by the Cross Industry Standard Process for Data Mining (“CRISP-DM”).  The process diagram for CRISP-DM looks […]

TDSP – The Team Data Science Process

TDSP I’m sorry for this inconvenience.  A long while back I started a blog series about data science.  I managed to get 3 blogs up and then I was interrupted by the very topical subject, Blockchain.  Having covered that topic, and hopefully I’ve gotten you exploring Blockchain as a Service on Azure, I now resume […]