In this article, we will look into some important aspects of PyTorch. We will take a look into the autograd package in PyTorch. This is the second part of the series, Deep Learning with PyTorch.Part 1: Installing PyTorch and Covering the Basics. Part 2: Basics of Autograd in PyTorch. This article is heavily influenced by […] ...

PyTorch is an open-source machine learning library. It is based on Torch library but specifically written for Python language. Recently PyTorch has been gaining much more traction and popularity for deep learning research and development alike. The best thing about PyTorch is that it is very python-like and intuitive. If you know the Python programming […] ...

In this article, we will take a practical approach to the k-Nearest Neighbor in machine learning. For implementation purposes of the k-Nearest Neighbor, we will use the Scikit-Learn library. We will try a classification problem using KNN. We will try the digit classification using the MNIST dataset. After all, before neural networks, traditional machine learning […] ...

In machine learning, there are many traditional algorithms that will remain relevant for a long time. k-Nearest Neighbor (KNN) is one such algorithm that we will get to know in this article. KNN is a simple and efficient algorithm. It is easy to understand the methodology of KNN as well. In this article, we will […] ...

In machine learning, we seldom get datasets that are perfect from the beginning. Almost it never happens that we get the data and just feed into our machine learning algorithms. In fact, it is one of the final steps. Before we can use the data, we need to act on it. We need to clean, […] ...