Complement Naive Bayes (CNB) Algorithm
Naive Bayes algorithms are a group of very popular and commonly used Machine Learning algorithms used for classification. There are many different ways the Naive… Read More »
Naive Bayes algorithms are a group of very popular and commonly used Machine Learning algorithms used for classification. There are many different ways the Naive… Read More »
Linear algebra is actually branch of mathematics but it is the mathematics of data that provides mathematical framework for solving problems. This framework is especially… Read More »
Notebooks illustrates the analysis process step-by-step manner by arranging the stuff like text, code, images, output, etc. This helps a data scientist record the process… Read More »
Machine Learning is the hottest topic in the current era and the leading cloud provider Amazon web service (AWS) provides lots of tools to explore… Read More »
The Wilcoxon signed-rank test is a non-parametric statistical hypothesis test used to compare two related samples, matched samples, or repeated measurements on a single sample… Read More »
Business Intelligence platforms are extremely important for businesses to remain relevant in this competitive market. They fulfill multiple functions for businesses including understanding the consumer… Read More »
Prerequisite: ANN | Bidirectional Associative Memory (BAM) Learning Algorithm To implement BAM model, here are some essential consideration and approach- Consider the value of M,… Read More »
Prerequisite: ANN | Bidirectional Associative Memory (BAM) There are three main steps to construct the BAM model. Learning Testing Retrieval Each step has been described… Read More »
Correlation is a statistical measure that indicates how strongly two variables are related. It involves the relationship between multiple variables as well. For instance, if… Read More »
Deep Convolutional GAN (DCGAN) was proposed by a researcher from MIT and Facebook AI research .It is widely used in many convolution based generation based… Read More »
Data Science is one of the in-demand technologies of 2020 and if we wish to learn and make a career out of it, then there… Read More »
CycleGAN was proposed by. It is used to transfer characteristic of one image to another or can map the distribution of images to another. In… Read More »
Variational autoencoder was proposed in 2013 by Knigma and Welling at Google and Qualcomm. A variational autoencoder (VAE) provides a probabilistic manner for describing an… Read More »
The histogram of a digital image with gray levels in the range [0, L-1] is a discrete function. Histogram Function: Points abut Histogram: Histogram of… Read More »
The Kolmogorov-Smirnov Test is a type of non-parametric test of the equality of discontinuous and continuous of a 1D probability distribution that is used to… Read More »