Statistics trivia for data scientists will refresh your memory from the courses you’ve taken – or maybe teach you something new! Visit my blog to find out!
Tag Archives: machine learning
06
Jun
Jun
“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!
21
Apr
Apr
Testimonials for Monika Wahi’s data science courses on LinkedIn Learning are posted here. Read what learners are saying to help you decide if you want to take the courses!
Educational Resources
Need an Online Curriculum in Data Science or Public Health that is Engaging? Here are my Freebies and Hacks!
29
Dec
Dec
Need online curriculum in data science or public health that keeps the learners engaged? I share a links to free resources as well as my hacks to interest high!
29
Nov
Nov
Want to get started learning about SAS macros? This blog post provides SAS macros for beginners with video tutorials to walk beginners and code newbies through the basic steps!
Quality Assurance/Quality Improvement (QA/QI)
“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5
12
Jul
Jul
Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.
15
Dec
Dec
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 […]
Career Development
Two Takeaways from Danny Ma’s Machine Learning Panel: Understanding the Problem, and Understanding your Data
04
Dec
Dec
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.
02
Mar
Mar
I encourage those of you into data science and AI to sign up to receive digests from Data Science Central. I happened upon this web site when looking for some references for a book I am writing, and found some amazing articles. Since I’m into data science in and AI in healthcare, I was intrigued […]
