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Continuing Education

CCTB394 - Machine Learning II - Advanced Algorithms

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Course Overview

Machine Learning II builds upon the fundamentals explored in Machine Learning I and introduces the algorithms that are at the cutting edge of machine learning research. The pros and cons of each algorithm are discussed, along with real world examples of how they can be used. Examples are done in Python, using the libraries scikit-learn, tensorflow, and xgboost. An in depth view of how to combine algorithms (ensembles, stacking, etc.) is given. The course should equip a student to be successful in competitive machine learning.

Recommended: CCTB393 Machine Learning I

Upcoming Offerings

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Section Start/End Schedule
E01 Nov. 15 - Nov. 17, 2019 Fri, Sat, Sun
Hours Delivery Fees
14 hours Day, Evening $500
Meeting Times:
  • Nov. 15 - Friday: 6:00 PM - 9:50 PM
  • Nov. 16 - Saturday: 8:00 AM - 3:50 PM
  • Nov. 17 - Sunday: 8:00 AM - 11:50 AM

Section Start/End Schedule
E01 Mar. 27 - Mar. 29, 2020 Fri, Sat, Sun
Hours Delivery Fees
14 hours Day, Evening $500
Meeting Times:
  • Mar. 27 - Friday: 6:00 PM - 9:50 PM
  • Mar. 28 - Saturday: 8:00 AM - 3:50 PM
  • Mar. 29 - Sunday: 8:00 AM - 11:50 AM

*Day delivery ranges between 8 AM - 5 PM.
**Evening delivery ranges between 5 PM - 10 PM.