Our latest thoughts on data science, machine learning and AI
As we wrap up 2018, it’s a good time for us to take stock and look towards 2019. Verge Labs has had our best year ever (being our first year as well).
I recently interviewed Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, about how actuaries can make the transition into data science.
We've been doing some work with computer vision for our clients and couldn't help having a bit of fun with it. Advances in computer vision (i.e. deep learning) have spawned all kinds of interesting effects and innovations that can even impact something as creative or "human" as art.
By now you might have hear the story of how Google used experiments to decide on just the right shade of blue for its affiliate links. And how that shade of blue drove an 'extra $200m a year in ad revenue', according to Google UK's managing director Dan Cobley.
My partners and I have given countless talks about data science, and are often asked at conferences, meetups and other events about which resources we find valuable for staying ahead of the curve.
Notebooks are an interactive environment for analysing data with the ability to write code, run code and document it. They're popular amongst data scientist because it's an easy way to quickly iterate through ideas and share with others.
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