Beyond pattern recognition: How-to identify and approach causal questions with the right tools
One of the key skills in data science acquired through experience across many projects is learning to identify the key questions being asked
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
12/2/2019
Designing, building, and shipping machine learning solutions across industries: Three (boring) principles
By: Brock Ferguson
Strategy
07/9/2019
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
04/2/2019
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
09/1/2018
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
04/13/2018
Case study: One-to-one, multi-channel marketing optimization
By: Brock Ferguson
Case Studies, Gaming
03/31/2018
Case study: Optimizing ad pricing at Dictionary.com
By: Brock Ferguson
Ad-ops, Case Studies