Uncovering bias in machine learning: We can do better
When human biases infect algorithmic decision-making, they become harder to observe, emboldened through science, and efficiently applied at unparalleled scale.
06/17/2020
Uncovering bias in machine learning: We can do better
By: Jacob Zweig
Strategy
03/18/2020
Using spatial optimization to expand the CTA
By: Mariela Perignon
12/23/2019
Beyond pattern recognition: How-to identify and approach causal questions with the right tools
By: Noah Salas
Technical, Data Science, Machine Learning, Statistics
12/02/2019
Designing, building, and shipping machine learning solutions across industries: Three (boring) principles
By: Brock Ferguson
Strategy
07/09/2019
Reinforcement learning for personalized medication dosing
By: Noah Salas
Case Study, Pharmaceuticals, Reinforcement Learning
04/30/2019
Reinforcement learning for real world systems
By: Jacob Zweig
Strategy, Data Science, Machine Learning, Reinforcement Learning
04/02/2019
Case study: Keeping kids safe online with machine learning
By: Brock Ferguson
Case Studies, Technology & Software
10/23/2018
Introducing Strong-Bootcamp: An ultra-lightweight solution for rigorous machine learning development
By: Brock Ferguson
News, Technical, Data Science, Machine Learning
10/17/2018
Evolutionary optimization: A review and implementation of several algorithms
By: Jade Cheng
Technical, Optimization, Statistics
09/01/2018
Case study: Building the transport vehicle of tomorrow
By: Jacob Zweig
Case Studies, Automotive
07/11/2018
Visualizing graphs using simulations of Coulomb's Law
By: Jade Cheng
Technical, Optimization, Visualization
05/16/2018
Case study: Increasing provider engagement with artificial intelligence
By: Jacob Zweig
Case Studies, Pharmaceuticals