Ep. 171 The Impact of Dataset imbalance on Machine Learning and AI.

The MongoDB Podcast

In this episode, we’re joined once again by Snehal Bhatia - Snehal is a Solutions architect here at MongoDB, and Snehal previously joined us in an episode to talk about designing environmentally sustainable data architectures. In this episode, Snehal turns her attention to an areas that she’s very familiar with, and an area that she did her own thesis in, but an area that has only now come to the mainstream with the continued widespread adoption of Machine Learning and Artificial intelligence. In this episode, we deep dive into the area of Impact of Dataset imbalance on Machine Learning and AI.

Listen for:

• [08:24 - 10:56] Consequences of dataset imbalance on machine learning algorithms
• [14:12 - 17:30] How the impact of data imbalance could have a real effect
• [20:46 - 24:00] How the potential bias impacts society and individuals
• [25:47 - 30:05] How the dataset imbalance is being addressed
• [33:56 - 36:57] Regulation, education, and awareness of technology advances
• [39:52 - 43:08] Is there an AI solution for every problem?