An exploration of object detection with deep learning

Noah Jaffe

Last week, I completed my last day of the Metis data science bootcamp. Finally, after 12 grueling weeks of lectures, pair programming, quizzes, and projects, we could relax. We spent the festive day chit-chatting on Zoom, playing Among Us, and doing Wikipedia races. Despite the high of making it through the bootcamp, the realization that this would be the last day spent with my cohort made it bittersweet. I was surprised how close I became to my Metis colleagues, and feel as though I’ve made some true friends despite the live online format. After I logged off of…


Noah Jaffe

Introduction

I am now 25% of the way through the Metis data science bootcamp, and I just submitted my second project of the program. Metis emphasizes project-based learning, and while the first project featured a common dataset analyzed by everyone in the cohort, project 2 opened the door for us to research whatever we wanted! This exhilarating assignment gave me the opportunity to delve into the dynamics of something near and dear to my heart — Magic: the Gathering! Magic is a collectible card game that dates all the way back to 1993, having gained incredible popularity since its initial release…


Introduction

I recently began a Metis data science bootcamp, joining about 55 other aspiring data scientists for 12 jam-packed weeks of coding, lectures, challenges and projects. I come from a background in biology; I finished a master’s in marine biology at San Francisco State University in January. I entered 2020 planning to work as a laboratory technician or some other low-level pipette monkey while I figured out a concrete career path, but the Covid-19 global pandemic completely disrupted that plan. As a 26-year old living in a new city (Portland, OR), I found myself looking for some career direction and day-to-day…

Noah Jaffe

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