Machine Learning, Gradient Descent, Feature Scaling, Data Preprocessing, Beginners Guide.
popular optimization algorithm used in machine learning to find the optimal values of parameters that minimize a cost function. To understand its practical implications, let’s consider the example of predicting house prices using the features of house size (x₁) and the number of bedrooms (x₂). #4.