Earlier this month, Foursquare introduced its new Hex Tiles technology - a next generation tiling system that gives data scientists the ability to easily unify diverse spatial datasets, conduct on-the-fly analytics, and quickly visualize and explore big data on a...
Data analytics at the edge is the trend of connecting autonomous vehicles, wearable devices and automated oil rigs that are operating with no human assistance. The benefits are huge, yet so are the challenges. According to the Ericsson Mobility Report 2021,...
It’s the time of the year when we look back at some of the data science breakthroughs and accomplishments of the past 12 months. As in the previous years, AI and machine learning techniques have evolved at a rapid pace; and amazing research was published in 2021. We...
Machine learning and AI models depend on a unique set of annotations that declare a particular subject in a specific representation. If you want your model to make accurate predictions, you need quality data. How do we define quality? Annotations or labels. At the...
Data scientists know more than anyone else that good quality data is the foundation for useful artificial intelligence (AI) and machine learning (ML) models. Only when data quality is good, useable and from multiple sources is when the real potential of AI and...
As you begin to read this, have you ever wondered what natural language is anyway? Why this field of AI, which has been growing in popularity in the last decade isn’t called just language processing? And What is not natural language then? Learn in this article what...
The days of walking miles up and down shopping streets to find an appropriate dress are long gone. Online services like Stitch Fix leverage data and algorithms to help customers find the clothes they love. Combining AI with the experience of expert stylists they can...
In this post, we’ll show you how to mine clickstream data using two key algorithms: Markov Chain for determining state transition probabilities and cSPADE for discovering sequential patterns. Using these techniques you can leverage your clickstream data to generate...
Introduction The growth of AI and machine learning (ML) has led researchers to think, research and stress the development of ethical AI solutions - with AI models / solutions able to provide: Explainability & Interpretability Privacy Fairness Model...
Presented by Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group during Data Science Salon Austin, you can watch the full talk here. As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more...