M’sian Coding Students Place 2nd In Global Ecological Hackathon To Identify Plankton
Together, not only did they manage to secure a seat in the Top Eight finals, but they were also the only team to successfully develop a machine learning model with plankton identification accuracy higher than the current system used onboard the schooner.
“The challenge was immense as none of us had any prior exposure to machine learning, and I had never explored Python programming language before. So, we initially just took it as an opportunity for us to speed-learn machine learning…
Post comments (0)