E12 - Bias and Variance

Welcome to our latest episode.  Today, we are going to discuss one of the most fundamental concepts in machine learning - Bias and Variance. Understanding the concept of bias and variance is crucial for developing effective machine learning models. These two parameters help us to measure the accuracy of our predictions and understand how to improve our models. We will explain these concepts in detail and show how to balance them for optimal results. So, sit back, relax, and get ready to learn about one of the most important topics in machine learning