Published inTowards Data ScienceWhat We Talk About When We Talk About MLI want to take some time to reflect on my own experience of developing ML skills.Apr 10, 2021Apr 10, 2021
So You Want A Vaccine by November? The Odds Are Lowtl;dr A simple statistics test suggests that the chances of having good data then are close to 1%. We are a long way from having a vaccine…Sep 5, 2020Sep 5, 2020
Published inTowards Data ScienceTen Elements of Machine Learning InterviewsA list of online resources that are really helpful.Nov 12, 20191Nov 12, 20191
Published inprinciples[0]Towards Understanding Modern Scientific Datatl;dr Statisticians shall embrace machine learning and approximate inference to work on challenging scientific problems as both the data…Mar 30, 2019Mar 30, 2019
Published inprinciples[0]How ML Helps Us Understand the UniverseThis is a draft of my talk for UC Grad Slam this year.Nov 27, 2018Nov 27, 2018
Published inTowards Data ScienceInterpretable ML with Additive ModelsEarlier this year I went to an excellent talk by Rich Caruana from Microsoft Research about his approach to building interpretable ML…Nov 11, 2018Nov 11, 2018
Published inTowards Data ScienceWhat Keras Models Are Missingtl;dr Keras models are missing “model confidence.” We need to know the “confidence” of a deep learning model before we can trust and use…Aug 30, 20181Aug 30, 20181
How Qchain Will Use Natural Language ProcessingThe goal of machine learning at Qchain is to match advertisers with publishers based on their content. Broadly speaking, the content can be…Aug 13, 2018Aug 13, 2018
Visions of Machine Learning at Qchain (Without the Buzzwords)It is almost impossible to talk about machine learning without buzzwords such as “deep learning” and “neural networks.” (“Machine learning”…Mar 20, 2018Mar 20, 2018
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