Please Join the course Slack Workspace. The Slack Workspace will be used for all communications between students, the TA, and the instructor. The link to the workspace can be found on Canvas.
All lectures and students will be conducted in BlueJeans. The link to the meeting URL can be found on Canvas.
Big data processing poses many challenges, which are often
characterized by the three V's (volume, velocity, and variety). On
the other hand, machine learning is increasingly used by all kinds
of data-driven applications. This course explores the interactions
between these two exciting fields. This blogpost provides one
perspective of such interactions.
Because of the purpose above, the course will be covered topics
broadly categorized as follows:
Utilizing machine learning technologies to solve hard data
management challenges, such as data
Utilizing data management technologies to solve hard machine
learning challenges, such as model interpretation, debugging,
and feature engineering.
The course covers a wide range of moder challenges and
sub-topics in both data management and machine learning. The
students will get familiar with these sub-topics, and gain a
deep understanding of one sub-topic by doing presentations and
Location: Online using Bluejeans. Link can be found on Canvas
Office Hours: We will use Slack for student-teacher interactions. The link to the Slack workspace can be found on Canvas
Students should have basic understandings of data analytics
and machine learning. Though not required, an undergraduate
course in relational database systems and an undergraduate
course in machine learning would be helpful. References provide some relevant
courses and materials.