Forecasting Public Transport Utilization in Chicago
On an average weekday, over 750,000 riders use the Chicago Transit Authority’s iconic ‘L’ rail system to get around the city. It is a critic...
06/13/2022
Forecasting Public Transport Utilization in Chicago
By: Cody Dirks
Case Study, Technical, Technology & Software, Data Science, Optimization, Statistics
08/24/2021
Edge Machine Learning: From PoC to Real-World AI Applications
By: Kuang Wei
07/29/2021
Deep learning at the Olympics: Real-time tracking for performance analytics
By: Francisco Gonzalez
Case Study, Technical
06/16/2021
Designing object tracking systems
By: Francisco Gonzalez
Strategy, Technical, Technology & Software, Computer Vision, Machine Learning
06/16/2021
Modern machine learning-based approaches to inventory forecasting
By: Jacob Dink
Strategy, Technical, Data Science, Machine Learning, Statistics
06/03/2021
Practical Considerations for Real-World NLP
By: Juan Llanos
Strategy, Technical
05/18/2021
What to consider when building a Machine Learning proof-of-concept
By: Jacob Zweig
Strategy, Technical, Data Science, Machine Learning
05/13/2021
Observational Causal Inference with Machine Learning
By: Cory Bonn
Technical, Data Science, Statistics
04/20/2021
Endogenous Gridpoints for Tax Policy Evaluation
By: Joseph Day
03/11/2021
Knowledge Brief: Deploying Machine Learning Models to Production
By: Alice Li
Strategy, Case Studies, Technology & Software, Machine Learning
11/10/2020
The state of enterprise machine learning
By: Brock Ferguson
Strategy
08/26/2020
Optimizing restaurant inventory using ingredient-level demand forecasting
By: Joseph Day
Case Study, Case Studies, Data Science, Optimization