Synthetic Data Generator for Tabular Data
Synthetic Data Generator for Tabular Data (Latest)

Overview

Welcome to the trial of NVIDIA AI Enterprise on NVIDIA LaunchPad.

NVIDIA AI Enterprise is a software suite that enables organizations to harness the power of AI, even if they don’t have AI expertise today. Optimized to streamline AI development and deployment, NVIDIA AI Enterprise includes proven, open-sourced containers and frameworks which are certified to run on common data center platforms from VMware and Red Hat, NVIDIA Certified servers configured with GPUs or CPU only, and on the public cloud. Since support is included, organizations get the transparency of open source and assurance that the global NVIDIA Enterprise Support team will help AI projects stay on track.

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Every step of the AI workflow is streamlined, from data prep, training, and inference to deployment, and AI practitioners can train on complex neural network models and tree-based models. NVIDIA AI Enterprise includes proven containers and frameworks that ease the adoption of enterprise AI, such as conversational AI, often used for automated customer support and digital sales agents, and computer vision, used for segmentation, classification, and detection.

Within this lab, you will use Synthetic Data Generation as a data augmentation technique to increase the robustness of a model. Synthetic data generation is a technique that can be used across various industries, like Financial Services, Energy, Healthcare, and Manufacturing. You will use a synthetically generated credit card payment dataset for this lab. By leveraging this dataset, you will generate additional synthetic transactions and explore methods for evaluating the quality of the generated data.

Important

To assist you in your LaunchPad journey, there are a couple of important links on the left pane of this page. In Step #1, you will use the Jupyter notebook link.

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