What is Clustering in Machine Learning and How Does it Work? Kernel methods are a class of algorithms for pattern analysis, and the most common one is the kernel SVM. Necessarily, if you make the model more complex and add more variables, you’ll lose bias but gain variance. To get the optimally-reduced amount of error, you’ll have to trade off bias and variance. For instance, a fruit may be considered to be a cherry if it is red in color and round in shape, regardless of other features. This assumption may or may not be right (as an apple also … Lees verder Giving Vertex AI, the New Unified ML Platform on Google Cloud, a Spin by Lak Lakshmanan