Data science culture is much faster-paced than the more academic and governmental culture in the public health field. Read my blog post for recommendations as to how public health practitioners can overcome the culture clash!
Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!
Monika posts her “data science newbie do-it-yourself starter kit”, with links to cheap or free learning resources for the data science newbie who wants to get started in healthcare analytics.
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.
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 […]
My colleague who is a professor at Fitchburg State University studies deeper learning in face-to-face and online approaches in higher education. The idea is that if educators use deeper learning approaches, the students will learn more efficiently. Others have talked to me about deeper learning, and when I looked into it, I found that the […]
If you believe in open source software, then you probably also agree with open source publishing. Why is it so expensive compared to open source software? My blog post has the answers.