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