High-quality data meets enterprise MLOps

High-quality data meets enterprise MLOps

According to the 2021 enterprise trends in machine learning report by Algorithmia, 83% of all organizations have increased their AI/ML budgets year-on-year, and the average number of data scientists employed has grown by 76% over the same period. However, the process...
Synthetic Time-Series Data: A GAN approach

Synthetic Time-Series Data: A GAN approach

Generate synthetic sequential data with TimeGAN Time-series or sequential data can be defined as any data that has time dependency. Cool, huh, but where can I find sequential data? Well, a bit everywhere, from credit card transactions, my everyday...
Synthetic Data with Gumbel-Softmax Activations

Synthetic Data with Gumbel-Softmax Activations

Photo by v2osk on Unsplash     In classification a central problem is how to effectively learn from discrete data formats (categorical or ordinal features). Most datasets present us with this problem so I guess it is fair to say that almost all data scientists have...
How to Validate the Quality of Your Synthetic Data

How to Validate the Quality of Your Synthetic Data

Photo by Pietro Jeng on Unsplash A tutorial on how you can combine ydata-synthetic with great expectations With the rapid evolution of machine learning algorithms and coding frameworks, the lack of high-quality data is the real bottleneck in the AI industry. Transform...