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