Showing Posts in:
Technical

08/24/2021
Edge Machine Learning: From PoC to Real-World AI Applications
By: Kuang Wei
Technical, Edge ML

07/29/2021
Deep Learning at the Olympics: Real-time Tracking for Performance Analytics
By: Francisco Gonzalez
Case Study, Technical, Performance Analytics

06/16/2021
Designing Object Tracking Systems
By: Francisco Gonzalez
Strategy, Technical, Technology & Software, Computer Vision, Machine Learning

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

04/20/2021
Endogenous Gridpoints for Tax Policy Evaluation
By: Joseph Day
Technical, Reinforcement Learning, Policy

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

10/23/2018
Introducing Strong-Bootcamp: An Ultra-lightweight Solution for Rigorous Machine Learning Development
By: Brock Ferguson
News, Technical, Data Science, Machine Learning

10/17/2018
Evolutionary Optimization: A Review and Implementation of Several Algorithms
By: Jade Cheng
Technical, Optimization, Statistics

07/11/2018
Visualizing Graphs Using Simulations of Coulomb's Law
By: Jade Cheng
Technical, Optimization, Visualization

03/28/2018
Keanu: Enter the Model.Matrix
By: Jacob Dink
Technical, Statistics