Applied Machine Learning

Fall 2017, INFO-4604, University of Colorado Boulder


Instructor: Prof. Michael Paul (Office hours: Thursdays 3:30–4:45pm, ENVD 207)
Time/Place: Tuesday/Thursday 5:00pm–6:15pm, HUMN 135
Discussion: http://piazza.com/colorado/fall2017/info4604
Textbook: Sebastian Raschka (2015) Python Machine Learning, 1st Edition.
Introduces algorithms and tools for building intelligent computational systems. Methods will be surveyed for classification, regression and clustering in the context of applications such as document filtering and image recognition. Students will learn the theoretical underpinnings of common algorithms (drawing from mathematical disciplines including statistics and optimization) as well as the skills to apply machine learning in practice. machine learning
Prerequisites:
  • One of INFO 2201, INFO 2301, CSCI 2270, CSCI 3022, or equivalent.
  • Students must be able to program in Python, or be willing to quickly learn.
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