machine learning for beginners. Bias versus variance trade-off, under fitting vs over fitting trade-off. Showing why there is balance between being underfit when using a machine learning model to perform better on a test set, instead only performing good on the training set. There is a balance between model complexity which is related to bias and variance.
PATREON:
[ Ссылка ]
#SoMe1 #machine-learning
00:00 Introduction
00:20 Chapter 1 - Machine learning theory
02:54 Chapter 2 - Bias and variance decomposition
04:32 Chapter 3 - Complexity trade-off
06:53 Chapter 4 - Perspective and outro
