My pandemic media diet has been mostly newsletters and podcasts. I start my day with The New York Times and Morning Brew, and I end it questioning whether the CIA wrote one of the great post-Cold War rock ballads while cooking dinner. The bar to being a content...
Presented by Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group during Data Science Salon Austin, you can watch the full talk here. As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more...
Based on a presentation by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility, watch the full presentation here. Widely considered one of the most interesting talks at #DSSATX (overall event recap here), Priscilla Boyd’s real-world examples of data...
Based on a presentation by Chris Lindner – Manager, Product Science at Indeed, watch the full presentation here. Note: This talk was presented in February, and the job market has changed quite a bit amidst the COVID-19 pandemic. While not specific to jobs in data...
Based on a presentation by Caitlin Hudon – Lead Data Scientist at OnlineMedEd, watch the full presentation here. At #DSSATX (overall event recap here), we loved the super-practical step-by-step advice on setting up the very first data science infrastructure and team...
AutoML is a term that appears increasingly in tech industry articles and vendor product claims, and is also a hot topic within AI research in academia. Consider how nearly all of the public cloud vendors promote some form of AutoML service. The tech...
Across the breadth of topics covered by speakers over two (rainy) days at Data Science Salon in Austin, February 18 & 19, 2020, two major themes emerged: the maturation of the data lifecycle, and the intersection of humans and machines. Our speakers acknowledged...
Consider how the software development life cycle (SLDC) is well-defined at this point: planning, creating, testing, deploying, maintaining – or some variant, depending on your software methodology. The gist remains consistent. Computer software runs “logic” in...
This talk by Joshua Malina, Senior Machine Learning Engineer at AMEX, focuses on how Pandas makes time series data investigation more accessible. My name is Josh Malina, I work at American Express. Today we'll be talking about time series analysis with...
This blog post by Douglas Hamilton, Chief Data Scientist and Managing Director of NASDAQ’s Machine Intelligence Lab, explores applying machine learning to the portfolio management problem to derive better indexes. I'm Doug Hamilton – I'm Chief Data...