Skip to content

Category Archives: Machine Learning

In this article, we will learn about the AdaBoost classifier and its practical implementation over a dataset.AdaBoost algorithm falls under ensemble boosting techniques, as we… Read More
The convolution neural network is very helpful in reducing the parameter while training the image dataset as compared to ANN, which makes it nearly impossible… Read More
Local Relational Network was proposed by researchers of Tsinghua University and Microsoft Research. The idea behind this paper is that the convolution layer has been… Read More
Episodic Memory: Episodic Memory is a category of long-term memory that involves recent recollection of specific events, situations, and experiences. For Example Your first day… Read More
PointNet was proposed by a researcher at Stanford University in 2016. The motivation behind this paper is to classify and segment 3D representation of images.… Read More
Optimization is essentially everywhere, from engineering design to economics and from holiday planning to Internet routing. As money, resources and time are always limited, the… Read More
Before getting into the Weibull Hazard plot, let us first understand what a hazard function is.  Hazard function (h(t)): It tells us about the measure… Read More
In the wider community of neurologists and those who are researching the brain, It is agreed that two temporarily distinct processes contribute to the acquisition… Read More
This article is to tell you the whole interpretation of the regression summary table. There are many statistical softwares that are used for regression analysis… Read More
The gain chart and lift chart are two measures that are used for Measuring the benefits of using the model and are used in business… Read More
Emotion Detection is one of the hottest topics in research nowadays. Emotion-sensing technology can facilitate communication between machines and humans. It will also help to… Read More
Continuous Kernel convolution was proposed by the researcher of Verije University Amsterdam in collaboration with the University of Amsterdam in a paper titled ‘CKConv: Continuous… Read More
Goldfeld-Quandt Test – This test is used to test the presence of Heteroscedasticity in the given data. The test was given by Stephen M Goldfeld… Read More
Rasa is an open-source Machine Learning framework to automate contextual text-voice-based Assistant. Rasa NLU understands the correct Intent with the help of its pre-trained nlu… Read More
Prerequisites: Weibull Plot  There are many probability distributions that are not single, but a family of distributions. This is due to the fact that they… Read More