Welcome to Cluster 12!

  Welcome to UCSD COSMOS's Cluster 12 "Machine Learning: Can We Teach a Computer to Think?" blog site. Here you'll be able to see photos, find out what we are learning and doing as well as links to our presentations and videos!

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Busy Week

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Cluster 12 has had a busy week!  We started off the week with some guest speakers from Engineers for Exploration (E4E).  They were all current students (from undergrad through PhD) who were working on various projects that dealt with conservation, ecology and/or environment.  Their research ranged from baboons in the wild to fish in the ocean.  It was fascinating to see how machine learning is used to help protect our environment and animal species.  We got a chance to talk with them afterwards to learn more about their own personal journey.  Not everyone's path was straight and direct and it was good to hear that you can come back from setbacks. On Tuesday, our Discovery Lecturer (an all-COSMOS presentation) was from a data scientist.  We could relate to much she had to say.  Then we got time to work on our ethics essays.  The ethics essay is part of a COSMOS essay contest where we'll find out the winners at the end of COSMOS.  The priz...
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What do Census predictors say about social equity?

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 On Monday, students presented their work using logistic regression.  This was their first "formal" presentation of the cluster. They analyzed census data to determine what census predictors say about social equity.  They had to find a way to predict who would make more than $50K per year and who will not.  Students determined what features were relevant and commented on any observations.  Below are their presentation.   Anshul and Emily Abigail and Jason Abhay and Shuchi Taejun and Jasmine Kelley and Jaemin Katherine and Alex Julia and Aaron Emilie and Sophie Cheryl, Aarushi and Brina Ben and Lynette Apologies for some unfocused videos.  The camera was having issues.  
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Movie Reviews and Machine Learning

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The last few days we've used a movie review dataset to create a machine learning model that determines if the review is positive or negative.  We got to see how some of the math we've learned in school (and sometimes math we haven't seen yet, but will soon) applies to things the people use everyday.  It was challenging but through the process we realized that we learned a lot. On Thursday, we presented our Sentiment Analysis of Movie Reviews project.  You can see our presentations below. Brina and Aaron Presentation Slides Abigail and Abhay Presentation Slides Aarushi and Julia Presentation Slides Sophie and Ben Presentation Slides Lynette and Jason Presentation Slides Kelley and Jasmine Presentation Slides Katherine and Taejun Presentation Slides Emily, Shuchi and Jaemin Presentation Slides Emilie and Alex Presentation Slides Cheryl and Anshul Presentation Slides
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