China’s AI-Led New Retail Environment – Everything You Should Know
China’s booming economy is powering its retail industry's growth.From e-commerce, the industry is now moving towards “New Retail” and integrating fast-evolving technologies...
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...
EU Unveils a New Code of Ethics Guidelines Built For Artificial Intelligence
The EU is revealing a new system of ethics with specific relation to the artificial intelligence sector. In the United States and...
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.
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...