Don’t Do Roles (Only) By Skillset
Based on this twitter thread. One thing that always makes me think are the roles we have in the software industry. The bigger the company, the more specialized the roles it seems. In data science, I‘ve...
View ArticleEveryone Is Still Terrible At Creating Software At Scale
I have a hunch that once people saw the economic potential of software, they started looking for ways to "scale it up" and we haven't stopped searching yet.
View ArticleWhy Recipes for Machine Learning Solutions Don’t Work
People who ask me “how do you solve a certain project with machine learning” often expect some kind of a recipe as if they were baking a cake. I understand the expectation and often find myself trying...
View ArticleHow the data science toolset is getting in the way of doing 5-10 experiments...
I’m re-reading Inspired by Marty Cagan lately and came across this quote: “To set your expectations, strong teams normally test many product ideas each week-on the order of 10 to 20 or more per week.”...
View ArticleHow To Hire A Data Scientist
Running data science projects successfully is already quite challenging, and the first step is to hire some data scientists. Here are my answers to questions I often get asked.
View ArticleWhat is Data Science/Product Fit And Why You Need It
I always felt that Data Science and Product Management share a lot of research aspects. When developing a new product, you have to work with assumptions, uncertainties, and gradually figure out a path...
View ArticleMachine Learning As The Ultimate Test Driven Development
As machine learning is becoming more mainstream (well that’s already long past I guess) more and more teams who are new to ML are attempting to run data science projects. One of the most common...
View ArticleA Plea for the Technical Founder
FOR REASONS I’m reading a lot of startup literature right now, including Zero to Sold, The Mom Test, Four Steps to the Epiphany, and The Lean Startup. One thing all of these books have in common is...
View ArticleHow To Organize Data Science Teams
One question I often come across is how to best organize cross functional data science teams where engineers and data scientists are working closely together. Here is what I’ve seen to work well in...
View ArticleIn Search for the Holy Grail of MLOps: Taming the Beast of ML Use Cases
MLOps is a really hot topic right now and there are many products out there that promise to meet all your needs to put ML algorithms in production. At the same time, many if not most ML projects still...
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