Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order. As this stu...
In today’s Data Science Central podcast, we will cover, at a high level, the main concepts of AI. We will give examples of what the areas of AI are, including Machine L...
Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deploym...
Summary: An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to th...
Summary: Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a contribution to getting us out of our home...
Bias in the model can happen through different stages of the modeling process. The most important stage is data selection and sometimes bias is the result of selection of...
Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and ...
Mathematical optimization (MO) technologies are being utilized today by leading global companies across industries – including aviation, energy, finance, logistics, tel...
A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time...
Summary: How to measure the degree and value of AI adoption among companies or even countries is hard. Here’s a beginning proposal on how to get started. We talk...