Week 9: 10/20/2015-10/27/2015

This past week I completed another Edx Lab (4b). In the lab, I trained and evaluated a classification model. Classification is one of the fundamental machine learning methods used in data science. Classification models enable you to predict classes or categories of a label value. Classification algorithms can be two-class methods, where there are two possible categories, or multi-class methods. Like regression, classification is a supervised machine learning technique, wherein models are trained from labeled cases.
This lab is important, because we will perform classification on our ABB data.

I also spent some time figuring out what another classification experiment was doing in our SERESL Azure space. The student was performing multiple two-class bayes point algorithm on different eye-tracking categorical data from each task performed in the study. He also ran a two-class decision forest algorithm on task 2 in multiple different ways.

Week 8: 10/13/2015-10/20/2015

I continued to work on the Edx labs for Azure. I learned how to use R to manipulate and analyze data in Azure ML. I learned how to sample and quantize data in Azure. I also learned how to perform ‘data munging’.

I have also been working on debugging the code I wrote for our eye-tracking software, iTrace. The code will allow us to gather eye-tracking data on Stack Overflow documents.

Week 8: 10/13/2015-10/20/2015

I have continued working on the Azure labs. So far I have learned how to set up and score a model, how to upload data, how to combine multiple data sources. I have also learned how to use R and Python within Azure. 

Tomorrow, I take the GRE test. I began studying over the summer so I hope I do well. 

Week 7: 10/6/2015-10/13/2015

This week I continued working on the Edx Azure labs. I have start looking at how to program in python for Azure. I have been using http://www.learnpython.org/ to learn the basics. I have also finished the registration form for the YSU chapter of ACM-W.

Week 7: 10/6/2015-10/13/2015

This past week I ran two lab experiments in Azure. I was following the first two labs in Edx to get me started in learning how to use Azure. We will be using Azure to run machine learning algorithms and experiments on our ABB data, so it is important that we learn how to properly use it. The first lab involved a very basic introduction to a simple experiment flow. The second lab taught me how to upload data files to Azure and how to use the Join module to combine data from multiple sources.

Week 6: 9/29/2015-10/6/2015

This week I finished running the data through Itrace. I began it last week, however there was an error in the code that needed fixed before we could continue.
I also began reading up on how to Microsoft Azure. Azure is a cloud computing platform that we will use for data mining and prediction. I signed up for a Edx class that teaches how to use Azure.

Week 6: 9/29/2015-10/6/2015

This past week I helped Jessica run iTrace's fixation filter on the raw ABB data for our analysis. We went through each of about 20 participant folders and selected the 3 task XML files for the fixation filter to run on. It provided us with merged raw gazes based on an algorithm developed by Tobii for each of the tasks for each participant also in XML format. We had a few issues with a few files, because of their naming conventions, but we fixed those to get accurate data.