A Posthumous Rebutal

A recently published piece by Isaac Asimov titled On Creativity partially rebuts my previous post. Here’s a key excerpt: To feel guilty because one has not earned one’s salary because one has not had a great idea is the surest way, it seems to me, of making it certain that no great idea will come in the next time either.…
Original post: A Posthumous Rebutal
Source: Machined Learnings

Costs and Benefits

tl;dr: If you love research, and you are a professional researcher, you have a moral obligation to make sure your benefactor both receives some benefit from your research and is aware of the benefit.I love research. Great research is beautiful in at least two ways. First, it reveals truths about the world we live in. Second, it exhibits the inherent…
Original post: Costs and Benefits
Source: Machined Learnings

Location Macro – a useful Scala macro

It is sometimes very useful to know the locations where a particular method is called. Of course your IDE tells you all of the locations in your source code. However, when investigating runtime issues, such as performance bottlenecks in production, logging is a simple yet powerful tool. How do we know the location of the method invocation? One way is…
Original post: Location Macro – a useful Scala macro
Source: Kifi

Conference on Digitial Experimentation

Conference on Digitial Experimentation I just attended CODE. The set of people interested in digital experimentation have very diverse backgrounds encompassing theory, machine learning, social science, economics, and industry so this seems like a good subject for a new conference. I hope it continues. I found several talks interesting. Eytan Bakshy talked about PlanOut which is language/platform for flexibly specifying…
Original post: Conference on Digitial Experimentation
Source: Machine Learning (Theory)