Logistics

• Lectures and Presentations: will take place (on a per-need basis) on Wednesdays, 4:30-5:50pm PDT in 200-034.
• Contact: Students should ask all course-related questions in the Piazza forum, where they will also find announcements. For external enquiries, personal matters, or in emergencies, you can email us at cs341-spr1819-staff@lists.stanford.edu.
• Office hours: contact directly the TAs on Piazza to schedule a session for your team.
• Cloud Infrastructure: this course is generously supported by Google. Each team will receive free credits to use the various Big Data and Machine Learning services offered by the Google Cloud Platform.
• Submissions: all the deliverables (slides, reports, etc.) must be submitted exclusively on the course Gradescope.

Content

What is this course about?

CS341 is an advanced project based course, framed as the natural continuation of CS246 - Mining Massive Data Sets. Students will work on Data Mining and Machine Learning algorithms for analyzing very large amounts of data. Both interesting datasets as well as computational infrastructure (Google Cloud) will be provided to the students by the course staff and mentors.

Prerequisites

Students are expected to have knowledge and familiarity with concepts covered in CS246 or similar classes (Hadoop, Spark, large scale data mining and machine learning algorithms, etc.) Other courses that might be helpful are: CS221, CS224N, CS224W, CS228, CS229, CS276, EE364A.

Reference Text

The following text is useful, but not required. It can be downloaded for free, or purchased from Cambridge University Press.
Leskovec-Rajaraman-Ullman: Mining of Massive Dataset