We wrapped up our last week with 2 amazing presenters! First was Jasper Tan and his focus was on Privacy in the Age of Data. He told us how in order to train machine learning networks and gather all this data a bg issue arises. How do you protect/prevent the sharing of private and sensitive data to undesired users?? He mentioned how even retracting someones name and address left “quasi-identifies” that can narrow you down.
Last but not least we had Temiloluwa Prioleau present to us about using data to understand, monitor and improve health outcomes.
We got a chance to revisit how machine learning can help monitor diabetes and ultimately make a more user friendly device.
We are officially at the last blog post! It feels like yesterday I got the email informing me I got invited to the SWITCH program and jumped around celebrating lol. I’m eternally grateful to RICE and SWITCH for giving me the opportunity and privilege to partake in this program. I feel like I learned stuff that made me a better programmer and teacher. I literally had to rearrange my bookmarks since I was saving absolutely every resource that got thrown my way. I think a big hurdle, at least for me personally, was the vast amount of results that pop up when you google “how to learn machine learning.” With this program we got specific tools, packages, and readings to tie everything together. One thing I was fearful of when I started teaching was that I would be teaching outdated things. Like that one professor who is still teaching Python 2 somewhere in america. This program helped alleviate that fear and if anything kind of reassure me that one never has to stop learning. and you don’t need to re-enroll into school to keep up.
In the age of information ignorance is a choice.
