From algorithmic trading to lifesaving drones...


Machine Learning at Berkeley’s industry consulting branch tackles challenging real-world problems with machine learning for non-profits like UNICEF and Zipline and corporations like Github and IBM. Our members gain a unique opportunity to develop machine learning solutions tailored towards relevant and specific industry challenges, while providing our clients with valuable operational insights.

Our Industry Projects

UNICEF
Measuring Data Diversity for Fairer ML

UNICEF
Mosquito Breeding Site Identification

Bungee
Computer Vision for Ecommerce

Zipline
Drone Flight Anomaly Detection

Intuit
Automated Text Summarization

groq
TPU Competitive Benchmarking

GitHub
Programming Language Classification

Unity
Automated Texture Delighting

Grand Rounds
Medical Data Trend Analysis

Quantiacs
Volatility Modeling for Futures Trading

SAP
Customer Behavior Analytics w/ SAP VORA

IBM - Smarter Villages
Data Driven Global Development Solutions

Vyrill
A/V Multimodal Senitment Analysis