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