CS545: Machine Learning

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start [2024/11/11 22:24] – [November] andersonstart [2024/12/07 13:34] (current) – external edit 127.0.0.1
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 ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^
-| Week 12:\\  Nov 5, 7  | Convolutional Neural Networks in Pytorch  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/24 Convolutional Neural Network Class in Pytorch.ipynb|24 Convolutional Neural Network Class in Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/25 CNN on One-Dimensional Data.ipynb|25 CNN on One-Dimensional Data]]   | | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A5 Pole Balancing with Reinforcement Learning.ipynb|A5 Pole Balancing with Reinforcement Learning]] <color red>Updated Oct 29, 9:30 AM.</color> Due Friday, , November 8th, 10:00 PM.  | +| Week 12:\\  Nov 5, 7  | Convolutional Neural Networks in Pytorch  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/24 Convolutional Neural Network Class in Pytorch.ipynb|24 Convolutional Neural Network Class in Pytorch]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/25 CNN on One-Dimensional Data.ipynb|25 CNN on One-Dimensional Data]]   | | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A5 Pole Balancing with Reinforcement Learning.ipynb|A5 Pole Balancing with Reinforcement Learning]]  Due Friday, November 8th, 10:00 PM. Examples of good A5 solutions  can be [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/goodones/index.html|found here]] | 
-| Week 13:\\  Nov 12, 14  | Ensembles. Autoencoders.   | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/26 Ensembles.ipynb|26 Ensembles]]   |   | +| Week 13:\\  Nov 12, 14  | Ensembles. Autoencoders. Recurrent Neural Networks.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/26 Ensembles.ipynb|26 Ensembles]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/27 Autoencoders.ipynb|27 Autoencoders]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/28 Recurrent Networks in Numpy.ipynb|28 Recurrent Networks in Numpy]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/29 Recurrent Networks in Pytorch.ipynb|29 Recurrent Networks in Pytorch]]   |   | 
-| Week 14:\\  Nov 19, 21  | Clustering. K-Nearest Neighbors. Web Apps with Streamlit.  |   | [[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 Thursday, November 21st, 10:00 PM.      |+| Week 14:\\  Nov 19, 21  | Word Embeddings. Transformers. Support Vector Machines.  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/30 Word Embeddings.ipynb|30 Word Embeddings]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/31 Introduction to Transformers.ipynb|31 Introdcution to Transformers]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/32 Support Vector Machines.ipynb|32 Support Vector Machines]]  | [[https://www.nature.com/articles/d41586-023-03635-w|ChatGPT generates fake data set to support scientific hypothesis]]\\ [[https://arxiv.org/pdf/2411.06469|ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?]]\\ [[https://www.statology.org/f1-score-vs-accuracy/|F1 Score vs. Accuracy: Which Should You Use?]]  | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A6 Convolutional Neural Networks.ipynb|A6 Convolutional Neural Networks]] Due Saturday, November 23rd, 10:00 PM.      |
 | Fall Break:\\ Nov 25-29 | No classes.  | | Fall Break:\\ Nov 25-29 | No classes.  |
  
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 ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Lecture Notes  ^  Reading          ^  Assignments  ^
-| Week 15:\\  Dec 3, 5  | Word embeddings. Transformers.  |   |     | | +| Week 15:\\  Dec 3, 5  | Mixture of Experts.  Streamlit.   | [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/33 Mixture of Experts.ipynb|33 Mixture of Experts]]\\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/34 Drawing Digits.ipynb|34 Drawing Digits]]\\ \\ [[https://nbviewer.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/35 Web Apps with Streamlit.ipynb|35 Web Apps With Streamlit]]   |     | | 
-| Dec 10-12  |  Final Exam Week  |  No Exams in this course  | |   |+| Dec 10-12  |  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 Wednesday evening, December 11th.   |
  
  
  
start.1731389062.txt.gz · Last modified: 2024/11/11 22:24 by anderson