This rubric focuses on computer vision, and how computers can gain high-level understanding from data derived from digital images or videos. Topics also include haptics and other examples of computer sensory input, as well as concepts such as generative adversarial networks and AI-driven image recognition.
What literacy was for the past century is what data literacy is for the twenty-first century. Most employers now prefer people with demonstrated data abilities… Read More »How Data Literacy is Playing a Vital Role in Today’s World
So many of us have used different Facebook applications to see us aging, turned into rock stars, or applied festive make-up. Such waves of facial… Read More »Face Detection Explained: State-of-the-Art Methods and Best Tools
Is diabetes linked to wealth? Is it the new rich mans disease? Would work from home contribute to the rise in people with diabetes given… Read More »How Data Visualization Can Help Correlate Diabetes And Income
Ignaz Philipp Semmelweis (1818-1865) was a Hungarian physician and scientist, now known as an early pioneer of antiseptic procedures. Described as the “saviour of mothers”,… Read More »How a good data visualization could save lives
To zoom in on any picture, click on the image to get a higher resolution. Figure 1: The pillow basins (see section 3) The topic… Read More »Beautiful Mathematical Images
This is the second part of my article Spectacular Visualization: The Eye of the Riemann Zeta Function, focusing on the most infamous unsolved mathematical conjecture,… Read More »Deep visualizations to Help Solve Riemann's Conjecture
We discuss here one of the most famous unsolved mathematical conjectures of all times, one among seven that has a $1 million award attached to… Read More »Spectacular Visualization: The Eye of the Riemann Zeta Function
I have included a lot of Excel spreadsheets in the numerous articles and books that I have written in the last 10 years, based either… Read More »Amazing Things You Did Not Know You Could Do in Excel
What is t-SNE? It is a Data Visualization Technique t-SNE stands for t-stochastic neighbor embedding Developed by Laurens van der Maaten and Geoffrey Hinton in 2008. It is… Read More »t-SNE : A gem in Data Visualisation
There is no statistical test that assesses whether a sequence of observations, time series, or residuals in a regression model, exhibits independence or not. Typically,… Read More »New Tests of Randomness and Independence for Sequences of Observations
