Categories: FAANG

Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect for data quality.
To this end, we outline a set of four data design practices (DDPs) for designing inclusive ML models and share how we designed a tablet-based application called Co-ML to foster the learning of DDPs through a collbaborative ML model…

An open-source gymnasium for machine learning assisted computer architecture design

July 12, 2023

In "FAANG"

Collaborative Machine Learning Model Building with Families Using Co-ML

Existing novice-friendly machine learning (ML) modeling tools center around a solo user experience, where a single user collects only their own data to build a model. However, solo modeling experiences limit valuable opportunities for encountering alternative ideas and approaches that can arise when learners work together; consequently, it often precludes…

May 4, 2023

In "FAANG"

Five machine learning types to know

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision, large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications. The validation and training datasets…

December 21, 2023

In "FAANG"

AI Generated Robotic Content