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ELEC 1005B - Intro Practical Data: Part B |
Practical Data Science and Machine Learning Part B focuses
on the use of machine learning theory and algorithms for
automating the modeling and classification of large, complex
data sets. Some key topics covered include:
Unsupervised learning techniques
Supervised learning techniques
Ensemble learning
Scikit Learn platform
Tensorflow/Keras platform
Pyspark/Hadoop
1.400 Continuing Education Units 14.000 Lecture hours Syllabus Available Grade Basis: Z GTRI Division Professional Education Department Course Attributes: PE Contract Course Only |
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