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latent-space-analysis

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HAYDARKILIC / data_vis_for_ai_research

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A 6-week hands-on masterclass in Data Visualization, MLOps Tracking, and Explainable AI (XAI). Master high-dimensional embeddings (UMAP), model diagnostics, live metrics (MLflow, W&B), and feature attribution (SHAP, LIME, Grad-CAM).

grad-cam data-visualization high-dimensional-data artificial-intelligence scientific-visualization performance-visualization umap interpretability python-data-science explainable-ai xai ai-research mlops mlflow shap weights-and-biases neural-network-analysis mechanistic-interpretability latent-space-analysis publication-quality
  • Updated May 27, 2026
  • Jupyter Notebook

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