Designing object tracking systems
Object tracking involves a distinct set of challenges and trade-offs that make it one of the most demanding specialties within computer visi...
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
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