Showing Posts in:
Data Science
01/10/2023
Deep Learning for Tabular Data
By: Michael Clark
Technical, Data Science, Machine Learning, Statistics
06/13/2022
Forecasting Public Transport Utilization in Chicago
By: Cody Dirks
Case Study, Technical, Technology & Software, Data Science
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, Big Data
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, Entertainment