Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

This notebook illustrates the nature of the Stochastic Gradient Descent (SGD) and walks through all the necessary steps to create SGD from scratch in Python. Gradient Descent is an essential part of ...

This notebook illustrates the nature of the Stochastic Gradient Descent (SGD) and walks through all the necessary steps to create SGD from scratch in Python. Gradient Descent is an essential part of ...

It delves into linear regression methods, exploring both closed‐form solutions and the general optimization framework provided by the gradient descent. The chapter introduces the necessary pre‐ and ...

Although film and television are often seen as creative and open-ended industries, they have long been risk-averse. High ...

we solve the optimization problem using a gradient-based variational inference algorithm called Stein Variational Gradient Descent. This allows us to find a distribution of solutions within a single ...