LatestMachine LearningBias vs Variance The Mathematical Foundational Assessment of Models 0 like February 11, 2025Share this postAuthor(s): Kim Hyun Bin Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.I am sure for many of you interested in the field of machine learning and artificial intelligence, when you first started, you would have come across this term Bias and Variance trade off. For the majority of us, Im sure whoever was teaching us, be it YouTube, a Medium article or from school, have briefly explained about this from a conceptual point of view and highlighted the existence and importance of it. Sure, it is important and a foundational analysis of any statistical learning algorithm. But why and how did it come about and what makes it what it is?Maybe this thought have never crossed your mind and I dont blame you for it because there are so much more fascinating and interesting algorithms and concepts out there, tempting you to just skip over the foundations and jump right into the complex algorithms. However, I am a true believer in polishing your foundations, building from the ground up and ensuring that you know exactly what is going on. I believe only then can you tackle more challenging concetps and equations in this insanely fast evolving field.So today, I will Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post