CS545: Machine Learning

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start [2023/11/07 10:26] – external edit 127.0.0.1start [2023/12/07 09:17] (current) – external edit 127.0.0.1
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 ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^
-| Week 11:\\  Oct 31 Nov 2  | Ray. Pytorch.  Convolutional Neural Networks.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/18 Ray for Parallel Processing.ipynb|18 Ray for Parallel Processing]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/19 Introduction to Pytorch.ipynb|19 Introduction to Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/20 Steps Towards Convolutional Nets in Pytorch.ipynb|20 Steps Towards Convolutional Nets in Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/21 Convolutional Neural Network Class in Pytorch.ipynb|21 Convolutional Neural Network Class in Pytorch]]   | [[https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/|President Biden's Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence]]  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A5 Reinforcement Learning.ipynb|A5 Reinforcement Learning]] due Friday, Nov 3rd, 10:00 PM. <color red>This notebook and a5.zip were updated slightly Oct. 26th, 11:00 AM. </color>  |+| Week 11:\\  Oct 31 Nov 2  | Ray. Pytorch.  Convolutional Neural Networks.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/18 Ray for Parallel Processing.ipynb|18 Ray for Parallel Processing]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/19 Introduction to Pytorch.ipynb|19 Introduction to Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/20 Steps Towards Convolutional Nets in Pytorch.ipynb|20 Steps Towards Convolutional Nets in Pytorch]]  | [[https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/|President Biden's Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence]]  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A5 Reinforcement Learning.ipynb|A5 Reinforcement Learning]] due Friday, Nov 3rd, 10:00 PM. <color red>This notebook and a5.zip were updated slightly Oct. 26th, 11:00 AM. </color>  |
 | Week 12:\\  Nov 7, 9  | Convolutional Neural Networks. Ensembles.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/21 Convolutional Neural Network Class in Pytorch.ipynb|21 Convolutional Neural Network Class in Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/22 Ensembles.ipynb|22 Ensembles]]  | | | Week 12:\\  Nov 7, 9  | Convolutional Neural Networks. Ensembles.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/21 Convolutional Neural Network Class in Pytorch.ipynb|21 Convolutional Neural Network Class in Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/22 Ensembles.ipynb|22 Ensembles]]  | |
-| Week 13:\\  Nov 14, 16  | Clustering.  | | | +| Week 13:\\  Nov 14, 16  | Clustering. K-Nearest Neighbors. Jax.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/23 K-Means Clustering, K-Nearest-Neighbor Classification.ipynb|23 K-Means Clustering, K-Nearest-Neighbor Classification]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/24 Introduction to Jax.ipynb|24 Introduction to Jax]]   | [[https://www.science.org/doi/10.1126/science.adi2336|Learning skillful medium-range global weather forecasting]] by DeepMind, using graph-convolutional_networks (GNNs) implemented in with jax.  | 
-| Fall Break:\\ Nov 20-24 | No classes  | +| Fall Break:\\ Nov 20-24 | No classes.  | 
-| Week 14:\\  Nov 28, 30  | Ensemble methods. Mixture-of-experts. Transformers.  | | |+| Week 14:\\  Nov 28, 30  | Support Vector Machines. Web Apps with Streamlit. Word Embeddings.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/25 Support Vector Machines.ipynb|25 Support Vector Machines]]\\  [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/26 Web Apps with Streamlit.ipynb|26 Web Apps with Streamlit]]\\  [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/27 Word Embeddings.ipynb|27 Word Embeddings]]  | [[https://www.nature.com/articles/d41586-023-03635-w|ChatGPT generates fake data set to support scientific hypothesis]]  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A6 Convolutional Neural Networks.ipynb|A6 Convolutional Neural Networks]] due Friday, Dec. 1, 10:00 PM.  |
  
 ===== December ===== ===== December =====
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 ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^
-| Week 15:\\  Dec 5, 7  | Other topics in current research.  | | [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/2023_AI-scientists-topline-report81.pdf|AI Scientists’ Perspectives on AI]]  | +| Week 15:\\  Dec 5, 7  | Transformers.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/28 Introduction to Transformers.ipynb|28 Introduction to Transformers]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/29 Transformers Predicting Text.ipynb|29 Transformers Predicting Text]]\\ Chuck's Recent Projects:\\ 1. Pretraining Speeds Up RL\\  2. Brain-Computer Interfaces\\  3. Explaining a Neural Network's Decisions   | [[https://colab.research.google.com/drive/1Qhq2FO4FFX_MKN5IEgia_PrBEttxCQG4?usp=sharing&utm_source=substack&utm_medium=email#scrollTo=r_20uEgdp4W_|Automatic detection of hallucination with SelfCheckGPT]]\\ [[https://arxiv.org/pdf/2309.13638.pdf|Embers of Autoregression: Understanding Large Language 
-| Dec 11-15  |  Final Exam Week  |  No Exams in this course  | +Models Through the Problem They are Trained to Solve]]    | | 
 +| Dec 11-15  |  Final Exam Week  |  No Exams in this course  | | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/Project Proposal and Report Example.ipynb|Project Report]] due at 10 pm Tuesday evening, December 12th.  |
  
  
  
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