Intro to Machine Learning Applications
General Info
- When: Section 1: Monday/Thursday 12:00-1:30 Section 2: Monday/Thursday 10:00-11:30
- Where:
Contact Info
Jason Kuruzovich (Instructor)
- Email: kuruzj@rpi.edu
- Office location: Pittsburgh 4108
- Office hours: Monday 2:00 PM – 4:00 PM
- Phone: 518-698-9910
Lydia Manikonda (Instructor)
- Email: manikl@rpi.edu
- Office Location: Pittsburgh 1212
- Office hours: Thursday 10:00 AM – 12:00 PM
- Phone: N/A
Kofi Arhin (TA)
- Email: arhink@rpi.edu
- Office Location: 2126 Pittsburgh
- Office hours: Thursdays 10:00 AM – 12:00 PM
- Phone: N/A
Ask technical questions related to to class to an appropriate slack channel (#homework/#lab). This will ensure that everyone can jump in and help.
I’d prefer that you address other messages to me also through Slack (rather than email). This will enable me to turn off my email while continuing to give priority support to this class.
Course Description
The Schedule for the course.
The Course Materials, including all data and Jupyter notebooks.
The LMS will be used for submissions of projects.
Slack (see link on left tab) will be the primary method of communication. Please download the Slack App for your mobile and desktop.
This Dropbox Share (see link on left tab) will include all presentations, syllabus, etc.
Fall 2019 version of the class available here.
Earlier version of the course are available in here.
Prerequisites
None
Textbook
New for this semester! Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition by Aurélien Géron