Summary: Quantum computing is now a commercial reality. Here’s the story of the companies that are currently using it in operations and how this will… Read More »Quantum Computing and Deep Learning. How Soon? How Fast?
Summary: This is a lesson in how it may be possible to snatch victory from the jaws of defeat. 1.) A good ROC score does… Read More »Even a Poor Model Can Have a Lot of Value
Summary: Someone had to say it. In my opinion R is not the best way to learn data science and not the best way to… Read More »Why R is Bad for You
Summary: Dealing with imbalanced datasets is an everyday problem. SMOTE, Synthetic Minority Oversampling TEchnique and its variants are techniques for solving this problem through oversampling… Read More »Dealing With Imbalanced Datasets
Summary: What are the real threats of job loss from real and AI enhanced virtual robots? How do we position ourselves and our children to… Read More »Keeping Your Job in the Age of Automation
Summary: We are swept up by the rapid advances in AI and deep learning, and tend to laugh off AI’s failures as good fodder for… Read More »There’s Nothing Like a Huge Public Failure to Boost Interest in AI
Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine… Read More »Machine Learning – Can We Please Just Agree What This Means
Summary: Is everyone a ‘data scientist’? What about ‘data engineers’ and the junior versus senior, or skill level distinctions? We do seem to need some… Read More »Understanding the Changing Position Roles in Data Science
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
Summary: Autonomous Vehicles (AVs) are supposed to be just around the corner but the anecdotal evidence is that their claims to safety are way out… Read More »SLAM! The Sound of Autonomous Vehicles Colliding
