Training Day? Training Wheels? Training Bias?
Is it all in the data or does training a model have other inherent limitations? In this episode we talk about training for machine learning, deep learning, the outcomes and biases of training on specific types of data and ensuring that your data does not overfit on a specific solution.
Let’s cut through the jargon, myths and nebulous world of data, machine learning and AI. Each week we’ll be unpacking topics related to the world of data and AI with Jansen & Victor, the awarding winning founders of 1000ML. Whether you’re in the data world already or looking to learn more about it, this podcast is for you.