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 […]
I can easily tell you what open access publishing is – but then the first question you will ask is, “How did it get this way?” I will NOT be covering this belabored history of open access publishing in this blog post, but I encourage you to read this article in Nature to get a […]
My initial answer: Not as much as I see people paying paying to publish research. I worked at the US Army for a while, and we hired consulting firms to help us publish peer-reviewed research papers. We had the data, and the questions – the consultants just had to analyze it and help us write […]