Showing Posts in:
Data Science

06/13/2022
Forecasting Public Transport Utilization in Chicago
By: Cody Dirks
Case Study, Technical, Technology & Software, Data Science, Optimization, Statistics

06/16/2021
Modern machine learning-based approaches to inventory forecasting
By: Jacob Dink
Strategy, Technical, Data Science, Machine Learning, Statistics

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

08/26/2020
Optimizing restaurant inventory using ingredient-level demand forecasting
By: Joseph Day
Case Study, Case Studies, Data Science, 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

04/30/2019
Reinforcement learning for real world systems
By: Jacob Zweig
Strategy, Data Science, Machine Learning, Reinforcement Learning
10/23/2018
Introducing Strong-Bootcamp: An ultra-lightweight solution for rigorous machine learning development
By: Brock Ferguson
News, Technical, Data Science, Machine Learning
07/01/2016
Is data science only useful for companies with big data?
By: Brock Ferguson
Strategy, Data Science
05/24/2016
Landing page science: How we optimized the conversion rates of over ten thousand landing pages
By: Brock Ferguson
Technical, Data Science, Optimization
01/01/2016
Movie ratings: Do critics and fans see eye-to-eye?
By: Brock Ferguson
Miscellaneous, Data Science