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
No prereqs
Taught by nobody this semester.