Learn the “data science of data collection” through my free introductory course! If you want to learn more, continue with the whole six-course series. Great for graduate students and QA/QI professionals!
In the murder trial of Officer Derek Chauvin, the prosecution must demonstrate that the police officer’s knee on George Floyd’s neck constituted a “substantial” cause of Mr. Floyd’s death “beyond a reasonable doubt”. This presents a challenge in weighing relative causes of death, and this leads us essentially to causal inference. My blog post demonstrates […]
While other countries have found a way to control their community spread of COVID-19 while waiting for the vaccine program to be implemented, the United States has totally failed at this. An epicurve is a diagram of the timing of an outbreak, and in other countries, this curve has been flattened. But in the United […]
We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]
Lipedema, a severe metabolic disorder, is more common than originally thought. A non-trivial proportion of women who struggle with obesity actually have undiagnosed lipedema. I am on a research team that just published a peer-reviewed article that presents the ketogenic hypothesis for lipedema, and here, I present a summary.
This lively panel discussed many topics around designing and implementing machine learning pipelines. Two main issues were identified. The first is that you really have to take some time to do exploratory research and define the problem. The second is that you need to also understand the business rules and context behind the data.
On #GivingTuesday, donate to Central Boston Elder Services’ Little Necessities program! Give early on December 1, 2020, and your donation may be matched through a program arranged by the #GIVE65 senior services crowdfunding platform.
Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!
Even if you do not deal directly with cryptography, the need to maintain data privacy often leads data scientists to need to study cryptography. This basic online course is part of an ethical hacking certification and gives a basic overview of issues with data transfer and cryptography.
If you receive payroll in the US, you can see that the data on the payroll stub is pretty complicated. This course in payroll is helpful for data scientists who find themselves analyzing US payroll data, because it explains the business rules and regulations behind the data.