If you have some experience in solving the classification problems then you must have encountered imbalanced data several times. An imbalanced dataset is a dataset that has an imbalanced distribution of the examples of different classes. Consider a binary classification problem where you have two classes 1 and 0 and suppose more than 90% of your training examples… Read More »
Ensemble learning techniques are quite popular in machine learning. These techniques work by training multiple models and combining their results to get the best possible outcome. In this article, we will learn about three popular ensemble learning methods-bagging, boosting, and stacking. Each one of these methods has its own benefits and limitations, but in practice ensemble methods often… Read More »
As data scientists, we come across numerous classification problems every once in a while. Ensemble learning techniques like bagging and boosting typically give us quite high classification performances. But all such models are much complex and hard to interpret. To make sure that everything is working fine and also to understand the prediction results/logic better, it becomes necessary… Read More »
OpenCV-AI-toolkit was first introduced nearly 20 years ago(in 1999) by Intel Research and it is getting richer and better every year since then. OpenCV was primarily written in C++ language but has bindings for Python, Java, and MATLAB that makes it easy to integrate into different ML/AI projects. You will find almost every Computer Vision(Computer Graphics based) project… Read More »
Deep Learning is part of the Machine Learning family that deals with creating the Artificial Neural Network (ANN) based models. ANNs are used for both supervised as well as unsupervised learning tasks. Deep Learning is extensively used in tasks like-object detection, language translations, speech recognition, face detection, and recognition..etc. Let’s create our First Neural Network with PyTorch- In… Read More »
Overview PyTorch is a deep learning framework developed by Facebook’s AI Research lab(FAIR) about four years ago (in 2016). This PyTorch framework was designed to make our machine learning and deep learning project journey super fast and smooth. Pytorch is written in Python, C++, and CUDA and is supported across Linux, macOS, and Windows platforms. It also has… Read More »