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
1 2 3 Next