Deploying sklearn Models via FastAPI and Docker Deploying machine learning models to production via FastAPI and containerizing them along the way with docker.
Disaster Tweet Classification with RoBERTa and PyTorch Approaching the Disaster Tweet Classification Kaggle challenge with NLP deep learning.
Language Models are Few Shot Learners - Meta Learning with GPT-3 Analyzing the paper "Language Models are Few-Shot Learners", exploring GPT-3's meta-learning abilities in Zero, One, and Few-Shot scenarios.
Evaluating Recommender Systems Outlining and exploring the mathematics behind different evaluation strategies and metrics applicable in the recommender systems domain.
Graph-Based Recommender Systems Boost recommendations with graph-based recommender systems - from user-item matrices, to social networks and knowledge graphs.
Collaborative Filtering in Recommender Systems Diving deep on the functioning of collaborative filtering (CF) algorithms in the recommender systems domain.
Introduction to Content-Based Recommender Systems Exploring the fundamentals and mathematical intricacies of content-based recommender systems to generate fitting and fair recommendations for users.