Viso.ai

APRIL 4, 2024

Two of the most important concepts underlying this area of study are concept drift vs data drift. In most cases, this necessitates updating the model to account for this “model drift” to preserve accuracy. An example of how data drift may occur is in the context of changing mobile usage patterns over time.

Data Drift 52

Data Drift Computer Vision Machine Learning Algorithm 52

ODSC - Open Data Science

JANUARY 24, 2023

Recently, we spoke with Josh Tobin, CEO & Founder of Gantry, about the concept of continual learning and how allowing models to learn & evolve with a continuous flow of data while retaining previously-learned knowledge can allow models to adapt and scale. What is continual learning?

Continuous Learning 105

Continuous Learning Data Drift Deep Learning Data Science 105

Unite.AI

JULY 25, 2023

An AI feedback loop is an iterative process where an AI model's decisions and outputs are continuously collected and used to enhance or retrain the same model, resulting in continuous learning, development, and model improvement. Bias & Fairness: AI models can develop bias and fairness issues.

Data Drift 246

Data Drift AI AI AI Modeling 246

Unite.AI

JUNE 13, 2023

A lot of the assumptions that you make that these algorithms are based on, when they go to the real world, they don't hold, and then you have to figure out how to deal with that. One thing that I'm particularly excited about is this notion of continual learning. ” We figured out what was going on.

Machine Learning 246

Machine Learning AI AI Algorithm 246