This article was posted by S. Richter-Walsh. A Brief Introduction: Linear regression is a classic supervised statistical technique for predictive modelling which is based on the… Read More »Implementing the Gradient Descent Algorithm in R
This video was posted on Youtube by Sirajology. He explains the basics of recurrent neural networks. Then you code your own RNN in 80 lines of python… Read More »Build a Recurrent Neural Net in 5 min
The list below is a small selection from Open Culture. We picked up classes relevant to data scientists, and removed links that no longer work at… Read More »30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI
Last week, at an event on AI, I asked the panel about how investors evaluate the Data readiness of AI start-ups. This subject is close… Read More »Data readiness strategies of AI Start-ups
Summary: DataOps is a series of principles and practices that promises to bring together the conflicting goals of the different data tribes in the organization,… Read More »DataOps – It’s a Secret
There is entertainment. And there is data. Candidly, it never crossed my mind that the two can be on the same spectrum. Let alone within… Read More »The Man Who Made Me Believe ‘Data Can Sing With A Feel’: A Tribute to Hans Rosling
It’s possible I haven’t shared my story of being asked whether people can leap over lampposts. The question was posed by a university professor although… Read More »Ecology of Truth
Guest blog post by by Brian Back. From the wide range of things you can do with D3, still one of the best things to make… Read More »Plotting Multiple Columns in D3
The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles.… Read More »Charting a Mandate for a Chief Data Scientist
