So we’ve arrived, seemingly at the end of our journey. I wouldn’t be ready to pull the rip-cord just yet. We still need to get the customer to agree that our model is fit for purpose, and present our results […]
Not all Models are Created Equal… On to the fancy part of the Data Science process. This is what Data Scientists are renowned for: producing a model that takes data, performs some magic, then spits out the correct answer – […]
This is the 3rd post in the Data Science Process Series. Now we have taken a look at the process holistically, performed the necessary, planning, agreed the architecture and defined the problem from both a business ‘human’ and analytical ‘techy’ […]
Post Two in the Data Science Process series looks into the below areas, highlighted in green. Lets Recap: Define Business Problem Here we work closely with business subject matter experts to understand the business problem. What is the issue? What […]
I feel the urge to throw my two-cents in regarding the data science process. There are plenty of competing opinions circulating the industry regarding how we do what we do. I have spent (probably too much) time researching the Data […]