Continuous Improvement

Random Picks

• Variance: In statistics, variance is a measure of how spread out a set of data is. It is calculated as the average of the squared differences from the mean. In data science, variance is an important concept in machine learning and predictive modeling ... Read More >>
• Stochastic Gradient Descent: Stochastic Gradient Descent (SGD) is an iterative optimization algorithm used to minimize the cost function in machine learning and deep learning models. It is a variant of gradient descent algorithm that updates the model parameters using ... Read More >>
• Centroid: In data science, a centroid is the arithmetic mean position of all the points in a given dataset. It is a common method used in unsupervised machine learning algorithms such as k-means clustering. The centroid represents the center of the c ... Read More >>