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    <title>AI for Econometricians on Cognaptus</title>
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      <title>Orientation: From Econometrics to AI</title>
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      <description>Bridge Estimator, model selection, simulation into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Markov Chains &amp; MCMC</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/01-markov-chains-mcmc/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Bootstrap, simulation, stochastic processes into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>N-gram Language Models: MLE for Text</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/02-ngram-language-models/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Maximum likelihood for discrete outcomes into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Embeddings: Estimated Coordinates for Meaning</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/03-embeddings/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/academy/ai-for-econometricians/03-embeddings/</guid>
      <description>Bridge PCA, factor models, estimated latent variables into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Neural Networks: From OLS and Logit to Learned Nonlinear Features</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/04-neural-networks/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge OLS, logit, nonlinear regression into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Backpropagation &amp; Deep Learning</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/05-backprop-deep-learning/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Gradient-based MLE and numerical optimization into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Supervised Learning: Prediction, Loss, Regularization, Validation</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/06-supervised-learning/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/academy/ai-for-econometricians/06-supervised-learning/</guid>
      <description>Bridge Forecast evaluation, MSE, BIC, train/test validation into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Unsupervised Learning: PCA, Clustering, and Autoencoding</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/07-unsupervised-learning/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/academy/ai-for-econometricians/07-unsupervised-learning/</guid>
      <description>Bridge PCA, factor analysis, clustering into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>CNNs: Local Filters and Shared Parameters</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/08-cnns/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Distributed lags, moving filters, local features into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>RNNs: Dynamic Models with Learned State</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/09-rnns/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge AR models, state-space recursion into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Attention &amp; Transformers: Data-Dependent Weighted Regressions</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/10-attention-transformers/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Weighted averages, kernels, state-dependent coefficients into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Mixture of Experts: Conditional Computation and Gating</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/11-mixture-of-experts/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Mixture models, regimes, latent-class probabilities into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Reinforcement Learning: MDPs and Bellman Equations</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/12-reinforcement-learning/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Dynamic programming, stochastic control, Markov states into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Policy Training: Policy Gradients and PPO Intuition</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/13-policy-training/</link>
      <pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Bridge Direct optimization of a parameterized decision rule into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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      <title>Capstone: A Financial Text &#43; Time-Series Decision Pipeline</title>
      <link>https://cognaptus.com/academy/ai-for-econometricians/14-capstone/</link>
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      <description>Bridge Forecasting, classification, model combination, decision thresholds into modern AI with equations, intuition, an interactive browser lab, and matching Python/R code.</description>
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