by Annie Phan, Drew Solomon, Yuyang Li, and Roma Coffin Overview: Continuing on from our previous post, our main objective now is to implement new deep learning architectures for collaborative filtering for our recommendation task application. In particular, we aim to develop a transformer and tune it. In our last…

by Annie Phan, Drew Solomon, Yuyang Li, and Roma Coffin Project Overview: Recommendation systems use consumer data to develop personalized preferences to customers. Tech companies have honed in on this strategy as it has proven to be successful in enhancing user-experience, popular examples include restaurant suggestions on Grubhub, playlist suggestions…

by Annie Phan, Drew Solomon, and Roma Coffin Overview: Image classification using deep learning may help identify diseased plants efficiently and prevent crop loss (Makerere University AI Lab, 2020). In this post, we summarize our approaches to classify cassava leaf disease using deep learning. We describe our EDA, data augmentation, model selection, fine-tuning, and hyperparameter tuning. …

by Annie Phan, Drew Solomon, and Roma Coffin Overview: Continuing on from our previous post, our main objective now is to improve upon the results from our baseline model. In our last blog post we went over our EDA process as well as our initial attempt in classifying cassava leaf…

by Annie Phan, Drew Solomon, and Roma Coffin Overview: Cassava is a key crop for food security across Sub-Saharan Africa. Yet, viral diseases threaten cassava yields, and are costly to detect manually. Thus, image recognition using deep learning may help identify diseased cassava plants efficiently and prevent crop loss. Leveraging…

Hypothesis Testing is commonly used when trials for vaccine testing are performed. With all the recent vaccine news for Covid-19, I wanted to shed light on the general hypothesis testing process for vaccines. In this article, I will go over the following topics: · Why is Hypothesis Testing Even Needed…