Chris KishLLMs and extracting informationMuch has been written about ChatGPT/Bard/Bing AI and their problems with providing accurate information (e.g. see…Feb 14, 2023Feb 14, 2023
Chris KishTest set nuancesOne of the major differences that I see between a novice data scientist and more of an expert is knowledge about the nuances of data or the…Apr 7, 2022Apr 7, 2022
Chris KishDo you really need a feature store? — More to think aboutI recently read https://medium.com/towards-data-science/do-you-really-need-a-feature-store-e59e3cc666d3, and although it is good, there…Feb 16, 2022Feb 16, 2022
Chris KishMeasuring model performance canMeasuring how well a model’s predictions are is, of course, crucial since you want to replace what you already have only with something…Feb 2, 2022Feb 2, 2022
Chris KishOffline Gains Often Don’t Equate to Business GThis paper was intriguing https://arxiv.org/abs/2003.08505 in part because finding similar items is such a big part of many recommendation…Aug 6, 2020Aug 6, 2020
Chris KishWhat it Means to be a Technical ExpertGiven the interviews I’ve experienced, discussions of AI or other automated methods taking over data science, etc. I worry there’s a…Jul 26, 2020Jul 26, 2020
Chris KishWhy Technical Interviews OftenDon’t Actually Assess Fitness for the JobJul 26, 2020Jul 26, 2020