Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient DescentWhen working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...best fit line
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Residuals vs. Cost Functions: Key Differences in Machine Learning EvaluationWhen it comes to evaluating machine learning models, two key concepts stand out: residuals and cost functions. These terms play a crucial role in determining how well our model predicts outcomes. In this blog post, we will explore these concepts in d...residuals
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Understanding Error Metrics in Regression: MSE, MAE, and RMSEWhen building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...root mean square error
Kumar Sakshamneuralrealm.hashnode.dev·Dec 16, 2023How Cost Function Works in Logistic Regression | Episode 10Introduction Hello there, fellow learners! Welcome back to the 10th episode of our machine-learning adventure. As you might recall, we are exploring the fascinating world of logistic regression. In today's discussion, we will focus on the "cost funct...4 likes·59 readsMachine LearningData Science
SUBITSHA Meverthingaboutdata.hashnode.dev·Oct 23, 2023Cost Function in Linear RegressionIn linear regression, the cost function, also known as the loss function or the mean squared error (MSE) function, is used to measure the error or the dissimilarity between the predicted values and the actual target values. The goal of linear regress...1 likeML
CodeChef-VITforCodeChef-VITblogs.codechefvit.com·Jan 10, 2022Why BFGS over Gradient DescentFunction optimization done right Photo by Armand Khoury on Unsplash BFGS falls into the category of optimization algorithms based on Quasi-Newton approaches. Where and how it is used BFGS is a type of second order optimization algorithm. BFGS has us...Machine Learning
