Tag Archives: Dax Ovid

SFSU bio and chem Master’s students do machine learning and scicomm

20 May

This semester (spring 2021) I taught a new class together with my colleagues Dax Ovid and Rori Rohlfs: Exploratory Data Science for Scientists. This class is part of our new GOLD program through which Master’s students can earn a certificate in Data Science for Biology and Chemistry (link). We were happily surprised when 38 students signed up for the class! 

In the last few weeks of the class I taught some machine learning and as their final project, students had to find their own images to do image classification with a convolutional neural network. Then they had to communicate their science to a wide audience through blog, video or twitter. Here are the results! I am very proud 🙂

If you are interested in the materials we used, let me know.

Videos

Two teams made videos about their final project: 

Anjum Gujral, Jan Mikhale Cajulao, Carlos Guzman and Cillian Variot classified flowers and trees. 

Ryan Acbay, Xavier Plasencia, Ramon Rodriguez and Amanda Verzosa looked at Asian and African elephants. 

Twitter 

Three teams decided to use Twitter to share their results. 

Jacob Gorneau, Pooneh Kalhori, Ariana Nagainis, Natassja Punak and Rachel Quock looked at male and female moths. 

Joshua Vargas Luna, Tatiana Marrone, Roberto (Jose) Rodrigues and Ale (Patricia) Castruita and Dacia Flores classified sand dollars. 

Jessica Magana, Casey Mitchell and Zachary Pope found cats and dogs. 

Blogs

Finally, four teams wrote blogs about their projects

Adrian Barrera-Velasquez, Rudolph Cheong, Huy Do and Joel Martinez studied bagels and donuts. 

Jeremiah Ets-Hokin, Carmen Le, Saul Gamboa Peinada and Rebecca Salcedo were excited about dogs! 

Teagan Bullock, Joaquin Magana, Austin Sanchez and Michael Ward worked with memes. 

Musette Caldera, Lorenzo Mena and Ana Rodriguez Vega classified trees and flowers. 

https://arodri393.wixsite.com/labsite/post/demystifying-machine-learning