LATEST PROJECTS
PROJECTSimdb
In-Memory Database (IMDb) is an implementation of the Redis protocol.
VibeSync
VibeSync is a research project which aims to explore the boundary of ML research with music. Inspired by recent advances with contrastive learning and joint language-audio embeddings, we aim to build a proof-of-concept system where a user specifies a playlist title and receives recommended songs. We want to see how far take this and what insights we can gain.
Education
Education
At Cornell Data Science, we equip students with the skills and mindset required to excel as data scientists, enabling them to make substantive contributions to diverse data science projects. Our semester-long Training Program is designed to foster a comprehensive understanding of data science fundamentals, while our Deep Dives offer concise workshops that explore cutting-edge technologies currently transforming the data science landscape.
Introduction to ML (INFO 1998)
As the realm of Big Data continues to expand, enrolling in this course provides practical experience in data analysis and prediction. Data science skills are invaluable across various sectors, including finance, healthcare, business, agriculture, and software development. By joining our training program, you will learn how to construct your first machine learning model using real-world datasets.
Data Talks
Every semester, we host industry professionals who share their experiences and insights, providing a unique learning opportunity for all attendees. Open to everyone, these sessions allow students to engage directly with experts, posing questions and gaining a clearer understanding of what a career in the industry entails. In previous sessions, we have welcomed speakers from prominent companies such as Meta, Amazon, MunichRE, and Hilton, among others.
Blog
During the semester, our focus includes extensive reading of machine learning and data science papers, enhancing our understanding and ability to articulate complex concepts. To aid in comprehension and to assist others, we frequently craft summaries and analyses of these papers. Additionally, we occasionally author blog posts detailing our projects, further contributing to our learning and sharing community.