Overview
Massive amounts of data are collected by many companies and organizations and the task of a data scientist is to extract actionable knowledge from the data – for scientific needs, to improve public health, to promote businesses, for social studies and for various other purposes. This course will focus on the practical aspects of the field and will attempt to provide a comprehensive set of tools for extracting knowledge from data.
Instructor: Rajalakshmi Nandakumar
Time: Monday and Wednesday 9:30 to 10:45 AM
Location: The Bloomberg Center 131, 2 W Loop Rd, New York, NY 10044
Topics Covered:
- Data cleaning
- Data visualization
- Large-scale ML
- Deep learning
- Reinforcement learning
- Handling data streams
- Recommendation systems
Tutorials:
Linear Algebra (Links to an external site.)
Spark Tutorial (a video is available through Stanford CS246)