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...
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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...
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 containing any identifiable information,...
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...
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. Generative AI is a specific area of Artificial...
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 improved credit scoring. Nevertheless, privacy...
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 25–35%, eliminate downtimes by 70–75%, reduce...
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 meters system is data collection. This data is...
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...