Difference between revisions of "User:Grberlstein"

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== '''Griffin Berlstein''' ==
 
== '''Griffin Berlstein''' ==
 
Nominally a person.
 
Nominally a person.
 +
 +
= Readings =
 +
== Background ==
 +
=== Algorithmic Ethics ===
 +
*[http://essay.utwente.nl/70934/1/Slot_MA_BMS.pdf Ethics of Algorithms]
 +
*[https://link.springer.com/article/10.1007/s10676-010-9233-7 Is There an Ethics of Algorithms?]
 +
*[http://journals.sagepub.com/doi/abs/10.1177/0162243915606523 Toward an Ethics of Algorithms]
 +
*[https://arxiv.org/pdf/1704.01347.pdf Quantifying Search Bias]
 +
*[https://pdfs.semanticscholar.org/e092/65ed8eee4c7b35e3ebe53b5d75492b4628a2.pdf Understanding and Designing around Users' Interaction with Hidden Algorithms in Sociotechnical Systems]
 +
=== Clustering and Data Science ===
 +
*[http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdf Algorithms for Clustering Data]
 +
*[https://datasciencelab.wordpress.com/tag/k-means/ K-means Clustering in Python]
 +
  
  
 
= Project Log For Summer 2017 =
 
= Project Log For Summer 2017 =
 +
 
=='''Week One (5/30 - 6/2)'''==
 
=='''Week One (5/30 - 6/2)'''==
==='''Day 1 (5/30/17)'''===
+
==='''Day 1 (5/30)'''===
 
*Attended REU orientation
 
*Attended REU orientation
 
*Obtained ID card and computer access
 
*Obtained ID card and computer access
 +
*Met with Dr. Guha and discussed broad ideas surrounding the project
 +
==='''Day 2 (5/31)'''===
 +
*Attended Library orientation
 +
*Finished reading [http://essay.utwente.nl/70934/1/Slot_MA_BMS.pdf Ethics of Algorithms] by Thijs Slot. This was the last of the pre-REU reading.
 +
*Started reviewing the basics of Python
 +
*Given crime data sets to review by Dr. Guha
 +
==='''Day 3 (6/1)'''===
 +
*Attended a meeting on proper research practices by Dr. Factor
 +
*Set up direct deposit
 +
*Reviewed the basics of GitHub
 +
*Continued to review Python
 +
*Examined crime data and the various ways it was made publically available
 +
==='''Day 4 (6/2)'''===
 +
*Moved mentor meeting to Wednesday due to scheduling issue
 +
*Started reading background information provided by Dr. Guha
 +
*Set up Jupyter notebook and the various dependent libraries
 +
*Created rough implementation of K-means clustering on random data
 +
*Obtained card access to Dr. Guha's lab
 +
*Posted rough, pre-discussion milestones
 +
=='''Week Two (6/5 - 6/9)'''==
 +
==='''Day 1 (6/5)'''===
 +
*Refined K-means implementation with the K-means++ seeding described in the [https://datasciencelab.wordpress.com/2014/01/15/improved-seeding-for-clustering-with-k-means/ Data Science Lab] article
 +
*Experimented with visual plotting of the algorithm using Seaborn and Matplotlib
 +
==='''Day 2 (6/6)'''===
 +
*Attended RCR training
 +
*Finished reading the relevant sections of [http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdf Algorithms for Clustering Data]
 +
*Experimented with Scikit-learn's implementation of K-means

Revision as of 22:33, 6 June 2017

Griffin Berlstein

Nominally a person.

Readings

Background

Algorithmic Ethics

Clustering and Data Science


Project Log For Summer 2017

Week One (5/30 - 6/2)

Day 1 (5/30)

  • Attended REU orientation
  • Obtained ID card and computer access
  • Met with Dr. Guha and discussed broad ideas surrounding the project

Day 2 (5/31)

  • Attended Library orientation
  • Finished reading Ethics of Algorithms by Thijs Slot. This was the last of the pre-REU reading.
  • Started reviewing the basics of Python
  • Given crime data sets to review by Dr. Guha

Day 3 (6/1)

  • Attended a meeting on proper research practices by Dr. Factor
  • Set up direct deposit
  • Reviewed the basics of GitHub
  • Continued to review Python
  • Examined crime data and the various ways it was made publically available

Day 4 (6/2)

  • Moved mentor meeting to Wednesday due to scheduling issue
  • Started reading background information provided by Dr. Guha
  • Set up Jupyter notebook and the various dependent libraries
  • Created rough implementation of K-means clustering on random data
  • Obtained card access to Dr. Guha's lab
  • Posted rough, pre-discussion milestones

Week Two (6/5 - 6/9)

Day 1 (6/5)

  • Refined K-means implementation with the K-means++ seeding described in the Data Science Lab article
  • Experimented with visual plotting of the algorithm using Seaborn and Matplotlib

Day 2 (6/6)

  • Attended RCR training
  • Finished reading the relevant sections of Algorithms for Clustering Data
  • Experimented with Scikit-learn's implementation of K-means