Synthetic Tabular Data Generation Using Transformers (NVIDIA) Course Overview

Unlock the power of Synthetic Tabular Data Generation using Transformers (NVIDIA) in our 8-hour course. Dive into the end-to-end development workflow for creating synthetic data—from data preprocessing to model pre-training, fine-tuning, inference, and evaluation. This course is pivotal for data scientists aiming to enhance model performance using synthetic data.

### Learning Objectives:
- Understand how synthetic data can improve model robustness.
- Utilize Transformers for generating synthetic tabular data.
- Grasp concepts like data preprocessing, model pre-training, fine-tuning, inference, and evaluation.

### Practical Application:
Leverage these skills on real-world datasets, such as credit card transactions, to bolster predictive tasks.

### Course Benefits:
By course completion, you'll proficiently generate synthetic tabular data, enhancing your models' predictive accuracy.