Visualizations play an increasingly prominent role in the realm of AI. Past a certain point, information simply cannot be conceptualized by staring at words or numbers, you need a picture. Articles in this category focus on visualization at all levels, from analytics to 3D rendering, dashboards to user experience, deep fakes to media blockbusters.
Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions… Read More »Artificial Intelligence: Making waves in the stock market
Written by Venkata Nori and Kshitij Gopali. Introduction As technology is evolving, most companies in the world are adopting advanced mechanisms for their daily tasks… Read More »Seamless integration of data from unconventional source systems into Business Intelligence using data science techniques
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Not long ago, I published an article entitled “The Sound that Data Makes”. The goal was turning data — random noise in this case —… Read More »The music of the Riemann Hypothesis: Sound Generation in Python
Data and its by-products dominate the world we live in. Smartphones and easy Internet access have increased this proliferation of data at a much higher… Read More »Key benefits of using text visualizations for your business
In recent years, businesses have been turning to artificial intelligence (AI) tools to improve their customer service and engagement. One such tool that has gained… Read More »How Businesses can benefit by Integrating ChatGPT in their Apps
Synthetic data is used more and more to augment real-life datasets. It enriches them and allow black-box systems to correctly classify observations or predict values… Read More »New Book: Synthetic Data – Generation and Applications
Having tabular data can make it challenging to comprehend your data when working with it genuinely. Visualizing data or representing it in a pictorial form will enable us to understand better what the information means and how to clean and use it. Tables and CSV files can’t reveal patterns, correlations, or trends, but graphs can.
Representation of data using graphics such as charts, plots, infographics, heat maps, bubble clouds, scatter plots, mekko charts, animation, etc., is termed data visualization. Such visual displays and representation of information help communicate complex data relationships and data-driven insights in a way that makes it easy to understand and base decisions on.
This 30 minutes video features my interview about the upcoming course “Intuitive Machine Learning”, based on my new book with the same title. Hosted by… Read More »Video: Introduction to Machine Learning
