Cover Photo by Xiang Gao on Unsplash Get started with Synthetic Data Generation with these Open Source Libraries Following the extraordinary advances of Generative AI models, Synthetic Data is becoming the standard for Machine Learning...
Unveiling the inner workings of how sequential data works and how Fabric can to smooth your journey in a time-series Machine Learning project Time-series data refers to a type of data that is collected and recorded over time and can be...
Photo by Roman Synkevych on Unsplash A probabilistic approach to fast synthetic data generation with ydata-synthetic To find synthetic data generation within the same sentence as Gaussian Mixture Models (GMMs) sounds odd, but it makes a...
I improved a model to save a hypothetical auto insurance company almost $200 per claim! One of the biggest mistakes that junior data scientists make is focusing too much on model performance while remaining naive about the model’s impact...
1. What is the ydata-synthetic and what does it do? ydata-synthetic is an open-source Python package developed by YData’s team that allows users to experiment with several generative models for synthetic data generation. The main goal of...
Cover Photo by Nick Chong on Unsplash Synthetic data is artificially generated data that is not collected from real-world events and does not match any individual's records. It replicates the statistical components of real data without...
Are you a data scientist looking to connect with other like-minded individuals, learn new skills, and stay up-to-date on the latest trends and technologies in data science? If so, there are several online communities that you should...
Cover Photo by Gerard Siderius on Unsplash Generative AI products can create new content similar to what humans produce. What does it mean? It can generate text, images, videos, or even music resembling what a person might create....
Cover Photo by Avery Evans on Unsplash The value of data and the adoption of data-driven strategies have proven valuable for many organizations, particularly the financial services sector, with cases ranging from fraud detection to...
Cover Photo by Nicholas Doherty on Unsplash The adoption of a data-driven strategy for Predictive Maintenance empowers energy and utility industries. A successful Predictive Maintenance implementation can reduce maintenance costs by...
Cover Original Photo by Alina Grubnyak on Unsplash Smart meters are crucial for the energy sector's increase of service efficiency - as they allow new service development and build better customer relationships. At the heart of EDP smart...
Credit scoring in retail banking traditionally involved manual evaluation of payment behavior, age, wage, gender, zip code, and other personal information. However, with the growth of financial institutions and the volume of data,...
