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...
Artificial Intelligence Trends

How reinforcement learning can help in solving real-world problems?

Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback...

Berkeley using a new deep learning program to assess risk of suicide amongst veterans

Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley...

Neural Networks: Advantages and Applications

A human brain is not capable of solving complex data and cannot extract information from compound structures. To overcome this lack of...

Harnessing curiosity in Reinforcement Learning

Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from...

Virtual Reality Offices: A Solution for An Overpopulating Generation

It's no secret that a traditional office can be counterproductive in many ways. More often than not, a desk loaded with multiple...

Google’s first AI Gift for Africa; An AI Lab.

Ghana being the growing center for technology advancements in Africa, received the first gift from the internet god “Google” as an Artificial...

Would you let AI Judge your trail?

Estonia is using AI for a lofty goal and working to push artificial intelligence services to new heights to reduce the caseload...