A binary classification problem is one where the goal is to predict the value of a variable where there are exactly two discrete possibilities. For example, you might want to predict the sex of a ...

Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Liver cancer leads to more number of human deaths nowadays. Patient survival chances can be increased by early detection of the tumour. Texture analysis based on moment features for CT liver scan ...