Bias and Variance in Machine Learning | Free Course | TimesPro скачать в хорошем качестве

Bias and Variance in Machine Learning | Free Course | TimesPro

In machine learning, we use various error metrics to evaluate the performance of a model on both the training and test data. This helps us to select the best model that generalises well to new data and has the lowest error. This session will explain in detail the various ways to obtain the ideal values for Bias and Variance for getting the best predictions, predicting errors that can be reducible or irreducible, techniques to handle underfitting with suitable examples, and many such interesting concepts. By the end of this video, you'll have a solid understanding of Bias and Variance in machine learning, and techniques for managing and reducing them. Whether you're a beginner or an experienced data scientist, this video will help you take your machine learning skills to the next level. #machinelearning #bias #variance #underfitting #overfitting #data #datascience #regularization #crossvalidation #ensemblemethods #tutorial