Happy holidays from SVDS! We wish you peace, prosperity, and happiness this season and in the year ahead.
The best way to spread data-driven thinking through an organization is by proving that you can use data to solve a real business problem.
Being data-driven is the best way to manage uncertainty—but achieving that is about far more than bringing a bunch of numbers to your latest meeting.
As a first step to using Twitter activity as one of the data sources for train prediction, we start with a simple question: How do Twitter users currently feel about Caltrain?
For this month’s Throwback Thursday, a post that provides insight and concrete advice on how to tackle imbalanced data.
You should understand whether the right things have been measured and whether the results are suitable for the business problem.
How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.
We (Tom, a Machine Learning practitioner, and Drew, a professional Statistician) have worked together for several years. We believe we have an understanding of the role of each field within data science, which we attempt to articulate here.