How Artificial Intelligence Is Helping Developers To Create Innovative Apps

The Artificial Intelligence (AI) revolution is taking the world by storm, producing new possibilities and giving every industry around the world a...

A Few Things To Remember Before Going To Start a Data Science Course

Over the last few years, the data science domain has evolved exponentially. In present times, it has become the backbone of many...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in...

Understanding the Four Types of Data Analytics

Data analytics can be a complex subject matter for many individuals, but it's very quickly growing into a necessary study for the...

Combining Deep and Reinforcement learning

Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches.

Can Tech Help Fight Counterfeiting?

echnology has made it easier than ever to produce and sell counterfeit merchandise. There was a time when the only way to...

Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

Hierarchical clustering using R

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that clusters similar data points into groups called clusters. The endpoint is a...

AI And The Streamlined Supply Chain

Amazon delivers 1.6 million packages per day, and it may seem that other retailers don’t stand a chance. Bad deliveries drive customers...

R k-means clustering and evaluation of the model

The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...
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