Exploring TimeGAN and YData Fabric for Synthetic Data Generation of Temporal Patterns In order to accelerate AI development and guarantee the best business practices and results, organizations rapidly need to become more data-centric....
The importance of data quality & profiling for the success of Machine Learning In today's world, businesses around the globe are generating a vast amount of data. To be able to adopt a data-driven initiative, organizations must manage data...
Cover Photo by John Schnobrich on Unsplash Data Engineering vs Machine Learning the differences and overlaps Data quality is critical to both Data Engineering and Data Science, after all poor quality data can be costly quite costly for a...
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...
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,...
Data management and analysis are critical tasks for organizations in today's digital age. With the increasing volume and complexity of information being generated every day, it is becoming more and more challenging to manage the most...
What you’ve always wanted to know about this exciting AI trend Synthetic Data has been quite a buzzword on the top of everybody’s tongue for the last few months. While its benefits seem to be tremendous for organizations, there seem to be...
In today's digital age, data has become an integral part of every organization's operations. Companies gather and analyze vast amounts of data to make informed decisions and gain insights into their customers' behavior and preferences....
ydata-synthetic v1.0 introduces a state-of-the-art generative model that generalizes for a bunch of datasets in a user-friendly interface. We are thrilled to announce that ydata-synthetic v1.0 is officially out! With an improved generative...
Machine Learning models are excellent tools to analyze large data sets and can have incredible accuracy in challenging tasks, from face recognition to credit scoring. Unfortunately, these models are not entirely free from bias and can...
The Data-Centric AI toolkit for data quality profiling and synthetic data generation We are proud to announce that the YData SDK is now officially available to the broader data science community. With a single line of code, any team or...
