The traditional idea of working for decades and retiring at 65 is losing traction. For some, it’s no longer financially viable. For others — especially the wealthy — it’s a conscious lifestyle choice.

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

This project explores linear regression using both the least squares method and gradient descent. It implements the matrix form of linear regression and applies it to a real-world dataset. The ...

Abstract: The practical performance of stochastic gradient descent on large-scale machine learning tasks is often much better than what current theoretical tools can guarantee. This indicates that ...

Abstract: Mini-batch gradient descent (MBGD) is an attractive choice for support vector machines (SVM), because processing part of examples at a time is advantageous when disposing large data. Similar ...