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===Other Venues===
 
===Other Venues===
* [[media:Frontiers_Poster_Ercolani.pdf|Applying Machine Learning to Particle Detectors]] ([[media:Frontiers_powerpoint_Ercolani.pdf|PowerPoint]], [https://drive.google.com/drive/folders/13wv5hE2CXHR7TEt69Q3iSIDmsrd0iQxh?usp=sharing video]), ''[[User: Ercolani|Alexander Ercolani]]'', Frontiers in Undergraduate Research 2021, Physics Department, University of Connecticut, March 2021.
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* [[media:pid_using_bdt-11-12-2023.pptx|PID using Boosted Decision Trees on Particle Gun Data (Powerpoint)]] ([[media:pid_using_bdt-11-12-2023.pdf|pdf]]), Richard Dube, GlueX Particle Identification Working Group, November 12, 2023.
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* [[media:Frontiers_Poster_Ercolani.pdf|Applying Machine Learning to Particle Detectors]] ([[media:Frontiers_powerpoint_Ercolani.pdf|pdf]], [https://drive.google.com/drive/folders/13wv5hE2CXHR7TEt69Q3iSIDmsrd0iQxh?usp=sharing video]), ''[[User: Ercolani|Alexander Ercolani]]'', Frontiers in Undergraduate Research 2021, Physics Department, University of Connecticut, March 2021.
 
* [[media:mokaya-UConnGradPoster-4-2016.pdf|Spin density matrix elements for radiative decays of the omega meson in photoproduction at 5 GeV]], ''[[User: Mokaya|Fridah Mokaya]]'', poster, Annual Graduate Research Exhibition, Physics Department, University of Connecticut, March 11, 2016.
 
* [[media:mokaya-UConnGradPoster-4-2016.pdf|Spin density matrix elements for radiative decays of the omega meson in photoproduction at 5 GeV]], ''[[User: Mokaya|Fridah Mokaya]]'', poster, Annual Graduate Research Exhibition, Physics Department, University of Connecticut, March 11, 2016.
 
* [[media:pratt-UConnGradPoster-4-2016.pdf|Diamond Radiator Fabrication and Characterization for the GlueX Experiment]], ''[[User: Bpratt18|Brendan Pratt]]'', poster, Annual Graduate Research Exhibition, Physics Department, University of Connecticut, March 11, 2016.
 
* [[media:pratt-UConnGradPoster-4-2016.pdf|Diamond Radiator Fabrication and Characterization for the GlueX Experiment]], ''[[User: Bpratt18|Brendan Pratt]]'', poster, Annual Graduate Research Exhibition, Physics Department, University of Connecticut, March 11, 2016.
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== Tutorials ==
 
== Tutorials ==
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=== Data Science Applications ===
 
* [https://cn410.storrs.hpc.uconn.edu/tutorials UConn Data Science Tutorials] - Eric Habjan
 
* [https://cn410.storrs.hpc.uconn.edu/tutorials UConn Data Science Tutorials] - Eric Habjan
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* [[TensorFlow | TensorFlow Decision Forests]] - [[User: mcintyre|James McIntyre]]
 
* [[TensorFlow | TensorFlow Decision Forests]] - [[User: mcintyre|James McIntyre]]
 
* [[Kaggle | Kaggle: No-setup, customizable, Jupyter Notebooks environment]] - [[User: mcintyre|James McIntyre]]
 
* [[Kaggle | Kaggle: No-setup, customizable, Jupyter Notebooks environment]] - [[User: mcintyre|James McIntyre]]
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* [[SVM | SVM: Support Vector Machines]] - [[User: mcintyre|James McIntyre]], Eric Habjan
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=== GitHub Repository ===
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* [[GitHub | GitHub: Data Backup]] - [[User: mcintyre|James McIntyre]]
https://www.kaggle.com/
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https://www.tensorflow.org/decision_forests/tutorials
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https://www.tensorflow.org/decision_forests
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https://keras.io/
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== Python Programming Language ==
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<font><i>NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of linear algebra, fourier transform, and matrices.
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<br>
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<br>
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<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
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* [https://www.python.org/ Python Programming Language <b>(python.org)</b>]
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* [https://www.w3schools.com/python/default.asp Learn Python <b>(w3schools.com)</b>]
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* [https://www.geeksforgeeks.org/python-programming-language/ Python Programming <b>(geeksforgeeks.org)</b>]
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* [https://www.codecademy.com/catalog/language/python Python <b>(codecademy.com)</b>]
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* [https://docs.python.org/3/tutorial/index.html Python Tutorial <b>(python.org)</b>]
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* [https://learn.microsoft.com/en-us/windows/python/beginners Using Python on Windows <b>(learn.microsoft.com)</b>]
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* [ <b>()</b>]
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* [ <b>()</b>]
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* [ <b>()</b>]
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* [ <b>()</b>]
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-->
      
== Help ==
 
== Help ==

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