This Course in Explainable AI will Get you Ready for the Future!

What do the data say when a machine learning algorithm is applied, and which features are important?

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 […]

Read Our New Peer-reviewed Paper on the Ketogenic Hypothesis for Lipedema!

Lipedema is a chronic condition that is often misdiagnosed as obesity

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.

Two Takeaways from Danny Ma’s Machine Learning Panel: Understanding the Problem, and Understanding your Data

Roller coaster like an ETL pipeline that does automation

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.

Donate to Central Boston Elder Services in GIVE65’s Giving Tuesday Event!

elders charity donation minority COVID-19

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.

Sort Order, Formats, and Operators: A Tour of The SAS Documentation Page

SAS software sorting a to z or using arithmetic operators

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!

If You Want to Increase Conversions, Try my A/B Testing Course on LinkedIn Learning

Learn about data science from doing real world projects online or in a laboratory

A/B testing seems straightforward, but there are a lot of picky details. What A and B conditions do you actually test? How long do you run the test? How do you calculate the statistics for the test? Answer your questions by taking this LinkedIn Learning course.

Announcing the Publication of my New SAS Book on Data Warehousing

Learn how to do data warehousing in SAS. You can purchase this book and use the code in it to help you.

SAS is known for big data and data warehousing, but how do you actually design and build a SAS data warehouse or data lake? What datasets do you include? How do you transform them? How do you serve warehouse users? How do you manage your developers? This book has your answers!

Data Curation Course: Learn Data Curation Online from LinkedIn Learning!

Learn how to do data curation on LinkedIn Learning!

Curation files are especially helpful for communicating about data on teams. Learn more about what you’ll learn when you take my online LinkedIn Learning data curation course!

Confused when Downloading BRFSS Data? Here is a Guide

You can download public data from health surveillance surveys. However, you have to know how to locate it on the web site.

I use the datasets from the Behavioral Risk Factor Surveillance Survey (BRFSS) to demonstrate in a lot of my data science tutorials. The BRFSS are free and available to the public – but they are kind of buried on the web site. This blog post serves as a “map” to help you find them!

Doing Surveys? Try my R Likert Plot Data Hack!

The Likert package in R can visualize categorical data.

I love the Likert package in R, and use it often to visualize data. The problem is that sometimes, I have sparse data, and this can cause problems with the package. This blog post shows you a workaround, and also, a way to format the final plot that I think looks really great!