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Description

Official Description

6.0 Continuing Education Units (CEUs)

This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. The emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models.  The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.

 

Supplementary Information

35 hours in class plus at least 25 hours of assignments.

Notes

This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Applies Towards the Following Programs

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Section(s) offered

Section Title
Practical Machine Learning
Language of Delivery
English
Type
Online Course, fixed date
Days
Th
Time
6:00PM to 9:00PM
Dates
Jun 11, 2020 to Aug 20, 2020
Type
Online Course, fixed date
Days
Th
Time
6:00PM to 8:00PM
Dates
Aug 27, 2020
Schedule and Location
Contact Hours
35.0
Location
  • Off-Campus
Delivery Format(s)
Course Fee(s)
Fee non-credit $1,414.80 Click here to get more information
Drop Request Deadline
Jan 30, 2020 to Jun 18, 2020
Transfer Request Deadline
Jan 30, 2020 to Jun 18, 2020
Withdrawal Request Deadline
Jun 18, 2020 to Jun 25, 2020
Section Notes

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 Fee Description

  • Tuition Fee: $1395
  • SCS Career Development Success package (SCSD) fee:  $19.80

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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