Linear Regression with Gradient Descent + Least Squares скачать в хорошем качестве

Linear Regression with Gradient Descent + Least Squares

Linear regression is a powerful statistical tool for data analysis and machine learning. It assumes a hypothesis (model) that is a linear combination of the independent variables. Using gradient descent, the parameters of the model can be learned using the available data; both the batch gradient descent and stochastic gradient descent algorithms are detailed here. Another way of looking at linear regression is through linear least squares, we also explore that solution. ** SUBSCRIBE: https://www.youtube.com/c/EndlessEngi...  ** Follow us on Instagram for more endless engineering:   / endlesseng   ** Like us on Facebook:   / endlesseng   ** Check us out on twitter:   / endlesseng   ** Image of voting data is from Wikimedia courtesy of Opabinia regalis and licensed under Creative Commons: https://commons.wikimedia.org/wiki/Fi... ** Image of house is available on pxhere and licensed under CC0 Public Domain: https://pxhere.com/en/photo/913995 ** Image of the Model T is from Wikimedia courtesy of Sicnag and licensed under Creative Commons: https://commons.wikimedia.org/wiki/Fi...