#machine-learning · 9

2024

April

— Networking & Graphical Models — Recommendation Systems

March

— Deep Learning — Regression & Hypothesis Testing

February

— Regression & Prediction — Making Sense of Unstructured Data: A Dive into Clustering and Dimensionality Reduction — Foundations of Data Science: Navigating Through Inferential Statistics

January

— Pre Work: Introduction to Data Science & AI — Kicking Off My ML & AI Journey with MIT IDSS and Great Learning