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Category: synthetic-data

  • Evaluating Synthetic Data — The Million Dollar Question

    Evaluating Synthetic Data — The Million Dollar Question Learn how to evaluate synthetic data quality using the Maximum Similarity Test — a simple, quantitative approach for assessing fidelity, utility, and privacy in synthetic datasets. The post Evaluating Synthetic Data — The Million Dollar Question appeared first on Towards Data Science. Andrew Skabar Go to original…

  • Why Nonparametric Models Deserve a Second Look

    Why Nonparametric Models Deserve a Second Look Discover how nonparametric conditional distributions unify regression, classification, and synthetic data generation—without assuming functional forms. The post Why Nonparametric Models Deserve a Second Look appeared first on Towards Data Science. Andrew Skabar Go to original source

  • How I Won the “Mostly AI” Synthetic Data Challenge

    How I Won the “Mostly AI” Synthetic Data Challenge A deep dive into how post-processing can supercharge synthetic data generation The post How I Won the “Mostly AI” Synthetic Data Challenge appeared first on Towards Data Science. Daniel Gärber Go to original source

  • How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions

    How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions Data makes the engine run in many organisations. But what if the number of observations is too low or there is only expert knowledge? I will demonstrate how to generate synthetic data with applications in predictive maintenance. The post How to…

  • The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data

    The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data What is synthetic data? Data created by a computer intended to replicate or augment existing data. Why is it useful? We have all experienced the success of ChatGPT, Llama, and more recently, DeepSeek. These language models are being used ubiquitously across society…

  • Synthetic Data Generation with LLMs

    Synthetic Data Generation with LLMs Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify and prioritize Generative AI use cases, balancing complexity with potential value. Retrieval-Augmented Generation (RAG) often stands out as a foundational capability across many LLM-driven solutions, striking a balance between ease of implementation…

  • How to Utilize ModernBERT and Synthetic Data for Robust Text Classification

    How to Utilize ModernBERT and Synthetic Data for Robust Text Classification Learn how to fine-tune ModernBERT and create augmentations of text samples Continue reading on Towards Data Science » Eivind Kjosbakken Go to original source