ANNOUNCEMENT:
AU/AFIT is moving to a new SIS (Student Information System); the start has been delayed until 1 Dec 2021. As a result, ACQ Now will no longer be the vehicle for registering for AFIT/LS courses after 1 Jan 2022. ACQ Now will continue to record the completion of any AFIT/LS courses taken at AU/AFIT for continuous learning point tracking. As we transition to the new SIS please follow the guidance below:
Please address any questions regarding AFIT/LS registrations to the AFIT TAT by calling: (937) 255-7777, EXT 3164 or emailing: LSACOURSEMANAGER@afit.edu
updated September 28, 2021 2:49:12 PM EDT
This course provides an introduction to machine learning utilizing Python/Jupyter Notebook as the primary software tool. Students will learn the fundamentals of artificial intelligence and how to apply it to systems to generate machine learning programs. These programs will automatically access and analyze data using varying statistical techniques to quickly and efficiently output numerical results. This is an advanced course on Data Science designed for students with both familiarity of Python and advanced statistics.
Grade Restrictions: None
Special Requirements: None
Location |
Offering # |
Start Date |
End Date |
|---|---|---|---|
| Live Internet | 22A | 08 Nov 2021 | 10 Dec 2021 |
| Live Internet | 22B | 07 Feb 2022 | 11 Mar 2022 |
| Live Internet | 22C | 28 Mar 2022 | 29 Apr 2022 |
Delivery Method: e-Learning Course
Course Length:
Event Type: Training (Functional, Technical)Primary Audience:
CL Points: 18
Prerequisites:
