BigDataFr recommends: Data is the first class citizen Algorithms and models are just helpers – Interview with Dato’s Alice Zheng

What project have you worked on do you wish you could go back to, and do better?

Too many! The top of the list is probably my PhD thesis. I collaborated with folks in software engineering research and we proposed a new way of using statistics to debug software. They instrumented programs to spit out logs for each run that provide statistics on the state of various program variables. I came up with an algorithm to cluster the failed runs and the variables. The algorithm identifies variables that are most correlated with each subset of failures. Those variables, in turn, can take the programmer very close to the location of the bug in the code.
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By Peadar Coyle
Source: dataconomy.com

About Alice Zheng

Alice is an expert on building scalable Machine Learning models and currently works for Dato who are a company providing tooling to help you build scalable machine learning models easily. She is also a keen advocate of encouraging women in Machine Learning and Computer Science. Alice has a PhD from UC Berkeley and spent some of her post docs at Microsoft Research in Redmond. She is currently based in Washington State in the US.