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CBUS 258 Practical Machine Learning (6 CE units)

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Note: This is the 2017–2018 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Career & Professional Develop (School of Continuing Studies)

Overview

Business : This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. 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.

Terms: This course is not scheduled for the 2017-2018 academic year.

Instructors: There are no professors associated with this course for the 2017-2018 academic year.

  • Prerequisite(s): CBUS 255 Plus intermediate level programming skills in Python.

  • 1. 35 hours in class plus at least 25 hours of assignments.

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