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neural-network-analysis

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rtimbro185 / syr_mads_scm651_business_analytics

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Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics

data-mining google-analytics descriptive-statistics ms-access price-optimization multivariate-regression power-regression business-analytics exponential-regression internal-rate-of-return univariate-linear-regression customer-choice net-present-value time-series-moving-average creating-business-value excel-one-way-sensitivity-analysis excel-two-way-sensitivity-analysis logit-analysis probit-analysis neural-network-analysis
  • Updated Nov 28, 2019

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
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