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Description

Official Description

8.0 Continuing Education Units (CEUs)

Fundamental statistical machine learning concepts and tools using Python. Emphasis on descriptive statistics, statistical distributions, random number generation, basic data visualization; linear regression; basic classification; error estimation: cross-validation, bias-variance trade-off; shrinkage methods; dimension reduction; beyond linearity: smoothing splines, local regression, additive models; tree and ensemble methods; powerful classifiers; unsupervised learning.

 

Supplementary Information

20 hours of lectures and 60 hours of independent study. Course may be offered in person or online with synchronous and asynchronous activities.

RESTRICTION: Not open to students who have taken YCBS 255 - Statistical Machine Learning.

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Section(s) offered
Section Title
Machine Learning: Principles and Applications
Language of Delivery
English
Type
Online Course, fixed date
Days
Th
Time
6:00PM to 9:00PM
Dates
Jan 22, 2026 to Mar 26, 2026
Schedule and Location
Contact Hours
30.0
Course Fee(s)
Fee non-credit $1,377.64 Click here to get more information
Drop Request Deadline
Dec 19, 2025 to Jan 29, 2026
Transfer Request Deadline
Dec 19, 2025 to Jan 29, 2026
Withdrawal Request Deadline
Jan 29, 2026 to Feb 05, 2026
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Format

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

 

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