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