From b8c484266358588b1bf4c49e282e4b0c2d14daf7 Mon Sep 17 00:00:00 2001
From: Nick Feamster <feamster@uchicago.edu>
Date: Mon, 24 Jun 2024 16:45:12 -0500
Subject: [PATCH] syllabus rework

---
 docs/index.md                                |  15 ++++++++-------
 docs/slides/14-Dimensionality-Reduction.pptx | Bin 264963 -> 264970 bytes
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index edc41b3..9f16fb0 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -43,8 +43,8 @@ More details are in the [course syllabus](syllabus.md).
 | **Machine Learning Pipeline**      |                                                                                                                         |                                                                                                                                            |                                               |
 | 7                                  | Data Preparation and Representation<br>([Data Preparation](notebooks/07-Data-Preparation-Clean.html))                   | [Ch. 4.1 ](https://noise-lab.github.io/ml-systems/book/text/pipelines.html#data-preparation)                                               |                                               |
 | 8                                  | Model Training and Evaluation<br>([Model Evaluation](notebooks/08-ML-Pipeline-Clean.html))                              | [Ch. 4.2-4.3](https://noise-lab.github.io/ml-systems/book/text/pipelines.html#model-training)                                              |                                               |
-| **Supervised Learning**            |                                                                                                                         |                                                                                                                                            |                                               |
-| 9                                  | Non-Parametric and Probabilistic Models<br>([Naive Bayes](notebooks/09-Naive-Bayes-Clean.html))                         | [Ch. 5](book/text/supervised.html)                                                                                                         |                                               |
+| **Supervised Learning**            |                                                                                                                         | [Ch. 5](book/text/supervised.html)                                                                                                                                            |                                               |
+| 9                                  | Non-Parametric and Probabilistic Models<br>([Naive Bayes](notebooks/09-Naive-Bayes-Clean.html))                         |                                                                                                         |                                               |
 | 10                                 | Linear and Polynomial Regression<br>([Linear Regression](notebooks/10-Linear-Regression-Clean.html))                    |                                                                                                                                            |                                               |
 | 11                                 | Logistic Regression and Support Vector Machines<br>([Logistic Regression](notebooks/11-Logistic-Regression-Clean.html)) |                                                                                                                                            |                                               |
 | 12                                 | Trees and Ensembles<br>([Trees and Ensembles](notebooks/12-Trees-Ensembles-Clean.html))                                 |                                                                                                                                            | [Midterm/Take-Home](assignments/midterm.html) |
@@ -53,12 +53,13 @@ More details are in the [course syllabus](syllabus.md).
 | 14                                 | Dimensionality Reduction<br>([Dimensionality Reduction](notebooks/14-Dimensionality-Reduction-Clean.html))              |                                                                                                                                            |                                               |
 | 15                                 | Clustering<br>([Clustering](notebooks/15-Clustering-Clean.html))                                                        |                                                                                                                                            | Anomaly Detection                             |
 | 16                                 | Autoencoders and Reinforcement Learning<br>([Autoencoders](notebooks/16-Autoencoders-Clean.html))                       |
-| **Cutting Edge Techniques**      |                                                                                                                         |                                                                                                                                            |                                               |
-| 17                                 | Large-Language Models <br>([Large Language Models](notebooks/18-LLM-Clean.html))                                                        | [Ch. 7.](book/text/llm.html)                                                                                                                                           |                                               |
-| 18                                 | Reinforcement Learning<br>([Automation](notebooks/19-Reinforcement-Clean.html))                                                        | [Ch. 8](book/text/reinforcement.html)                                                                                                                                           |                                               |
+| **Generative Models**      |                                                                                                                         | [Ch. 7](book/text/llm.html)                                                                                                                                            |                                               |
+| 17                                 | Transformers <br>([Large Language Models](notebooks/18-LLM-Clean.html))                                                        |                                                                                                                                           |                                               |
+| 18                                 | Diffusion Denoising |                                                                                                                                            | Performance Monitoring                        |
 | **Bonus Topics**      |                                                                                                                         |                                                                                                                                            |                                               |
-| 19                                 | Automation<br>([Automation](notebooks/16-Automation-Clean.html))                                                        |                                                                                                                                            |                                               | [Ch. 9](book/text/deployment.html)
-| 20                                 | Timeseries Analysis<br>([Timeseries](notebooks/17-Timeseries-Clean.html))                                               |                                                                                                                                            | Performance Monitoring                        |
+| 19                                 | Reinforcement Learning<br>([Automation](notebooks/19-Reinforcement-Clean.html))                                                        | [Ch. 8](book/text/reinforcement.html)                                                                                                                                           |                                               |
+| 20                                 | Automation<br>([Automation](notebooks/16-Automation-Clean.html))                                                        |                                                                                                                                                                                           [Ch. 9](book/text/deployment.html) |
+| 21                                 | Timeseries Analysis<br>([Timeseries](notebooks/17-Timeseries-Clean.html))                                               |                                                                                                                                            | |
 
 Please come to class having done the reading. 
 
diff --git a/docs/slides/14-Dimensionality-Reduction.pptx b/docs/slides/14-Dimensionality-Reduction.pptx
index 80d4ca62fc7b3e5cf90a93d17bdb165f1b4ef348..8b34b49486465671446c4c785f881a96b4ab8d12 100644
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