In the News
Meet the man behind Alibaba’s gamble on emerging tech.
How Uber leverages forecasting to build its products and services. In addition to standard statistical algorithms, Uber builds forecasting solutions using ML, Deep Learning and probabilistic programming.
Problem definition, feature engineering, model debugging, productionization, and dealing with feedback loops.
2001 to 2018
Here is the “ML Engineering Loop”, an interesting and iterative approach to help developing and improving ML models.
Software tools & code
Quantifying uncertainty is key when exploring and using data. This post includes an interesting deep-dive into methods to estimate uncertainty.
Specification, robustness, and assurance
Musicologists are beginning to uncover statistical patterns that govern how trends in musical composition have spread.
In the wake of scandals and questions raised by data collection and privacy, here is an interesting post with some perspective on what Ben Thompson calls “data factories” and their impact on users, regulators, businesses and society.
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