Modern Machine Learning-based Approaches to Inventory Forecasting
Optimizing inventory is a key challenge for organizations. Under-prepare for the future, and you can wind up with irate customers who frustr...
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, NLP
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
Technical, Reinforcement Learning, Policy
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, Machine Learning, Enterprise
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, Bias, Diversity
03/18/2020
Using Spatial Optimization to Expand the CTA
By: Mariela Perignon
News, Spatial Optimization
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, Machine Learning, Processes